Händelser: Centrum: Fysikcentrumhttp://www.chalmers.se/sv/om-chalmers/kalendariumAktuella händelser på Chalmers tekniska högskolaThu, 04 Jun 2020 15:23:19 +0200http://www.chalmers.se/sv/om-chalmers/kalendariumhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masters-thesis-Lina-Aberg-200608.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masters-thesis-Lina-Aberg-200608.aspxLina Åberg, Applied Physics och Biomedical Engineering<p>Online via Zoom</p><p>​Titel på masterarbetet: Machine learning for classifying the early stage of Osteoarthritis, based on biological data. Följ presentationen online</p><h2 class="chalmersElement-H2">​Sammanfattning: </h2> <div><span style="background-color:initial">Osteoarthritis, or OA, is a chronic joint disease and the most common form of arthritis. It is a very common disease in human athletes, but also the most common reason for lameness and poor performance in animal athletes, such as racehorses. The traditional standard for diagnosing OA is by radiographic measurements. Unfortunately, clinically recognizable changes do not appear until the chronic destruction of the articular cartilage has progressed too far and the disease is irreversible.</span></div> <div> </div> <div><br /></div> <div> </div> <div>In order to diagnose the disease earlier, the focus has been shifted from imaging biomarkers to biological biomarkers. Several promising biological biomarkers have been found, each representing a different stage of the destruction process. One specific biomarker has shown to increase in both blood and synovial fluid in horses with acute lameness, corresponding to an early stage of OA. If this early OA could be identified, it would be possible to intervene in time and the chronic and painful destruction of the joint tissues could be prevented, which could greatly improve the equine welfare.</div> <div> </div> <div><br /></div> <div> </div> <div>The aim of this thesis was to investigate different machine learning approaches in order to classify OA and find a promising method to be used in a future decision support system for practitioners. The future system should be able to help diagnose OA, and specifically identify the different progression stages of structural changes in the joint, based on biological data from a simple blood sample. </div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Elin-Lorin_Niklas-Westman-200608.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Elin-Lorin_Niklas-Westman-200608.aspxElin Lorin, Product Development Niklas Westman, Production Engineering<p>Online via Zoom</p><p>​Titel på masterarbetet: Development and testing of a concept for analysing kinematics in show jumping. Följ presentationen online</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div><div>Technology is today used within a vast range of sports and sport equipment. This trend is increasing in both the number of solutions available and the different sports it can be applied on. The area of equestrian sports starts to see different products utilizing technologies such as motion sensors for data collection. However, there is an opportunity for further development of products within different areas of equestrian sports. Show jumping has been an area focused on with yearly projects such as the Chalmers Technical Fence at Gothenburg Horse Show, and stakeholders have voiced an interest in further development of a product that can be used outside of this competition.</div> <div><br /></div> <div>Therefore, the aim of this thesis is to map the voice of the customer in order to create an initial specification. Further, the aim is to choose and develop a concept based on said specification. The concept is then tested and evaluated where test results also aims at increasing the knowledge surrounding the kinematics in show jumping.</div></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Otto-Magnusson-200608.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Otto-Magnusson-200608.aspxOtto Magnusson, Biotechnology<p>Online via Zoom</p><p>​Titel på masterarbetet: &quot;Investigating flow related effects of Chronic Kidney Disease on renal drug toxicity in a human-derived proximal tubule microphysiological system&quot; Följ presentationen online​ Password: 912347​</p><br /><div><br /></div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Andreas-Divinyi.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Andreas-Divinyi.aspxExjobbspresentation: Andreas Divinyi<p>Online</p><p>​Title: &quot;Characterization of  memory effects in GaN based HPAs for multi-function sensors&quot;Supervisor: Mattias Thorsell</p>​<span style="background-color:initial"><strong>Abstrakt</strong></span><div>There is a considerable lack of insight into the long term memory effects needed to enable a next generation of small and lightweight multi functional sensor systems.  GaN HEMT based solutions have proven the most suitable alternative in term of size and performance. As such this thesis focus on the memory effects present in the change between two waveform representative of the different operating conditions applicable for a multi function system. To investigate this demands a high degree of control over both waveform generation and information recording. Thus to characterize these effects a suitable test bench is designed capable of providing arbitrary waveforms and non-glitch switching between them. But also to record and numerical evaluation methods to model the measurement data. This in order to quantify the impact on the behavior of a power amplifier caused by memory effects in terms of transients. The results indicates the presence of these memory effects in the amplifier operation after switching applications and decrease of influence from previous waveform as time progress. Furthermore, timing between gate pulsing and the impact on device functionality.</div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Bjorn-Langborn.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Bjorn-Langborn.aspxExjobbspresentation: Björn Langborn<p>Online</p><p>​Titel: Class D Power Amplifier Design in 22nm CMOS for RF Delta-Sigma Modulated SignalsStudent: Björn Langborn Handledare: Christian Fager (MC2), Lars Svensson (CSE), Jonas Fritzin (Infineon München) Presentationen hålls online:  https://chalmers.zoom.us/j/63540764186</p><b>​</b><span style="background-color:initial;font-size:14px"><b>Abstrakt:</b></span><div><span style="font-size:14px">For future communication and sensor systems, energy efficient transmitters are essential to achieve good system performance. To this end, this thesis has investigated the efficiency, frequency, power and bandwidth limitations of Class D power amplifiers for bandpass Delta-Sigma modulated signals. Herein, Bandpass Delta-Sigma Modulation (BPDSM) allows for digitization of analog information signals, which is attractive from a system perspective, whereas Class D power amplifiers are suitable for digital signals and has an ideal efficiency of 100%. This paper will begin with theory on Delta-Sigma modulation, choice of semiconductor process technology, amplifier topology, and operational and design principles. From this theory, design equations are found that determine the limitations on the achievable output power and drain efficiency. Key parameters for the BPDSM and class D stage are highlighted. Three loss mechanisms for the class D stage are identified and quantified, namely switching, conduction and short circuit losses. </span></div> <div><span style="font-size:14px">Simulation studies have been performed, for the circuit in Cadence's Virtuoso Analog Design Environment (CVADE) using GlobalFoundries 22 nm FDSOI CMOS technology, and for the BPDSM in MATLAB using R. Schreier's Delta Sigma Toolbox. The simulations in CVADE were performed using Super Low-Voltage Threshold (SLVT) transistors. These simulations included transistor characterization by DC and S-parameter simulations, and circuit performance comparison between a class D stage using SLVT transistors with a switch model class D stage. </span></div> <div><span style="font-size:14px">From the design equations, the output power is seen to be limited by the BPDSM coding efficiency, transistor on-resistances and the process technology limiting the drain voltage. Furthermore, it is suggested that both the output power and the drain efficiency will be especially limited by high on-resistance, resulting in conduction loss, if the class D transistor widths are small. On the other hand, large transistor widths are expected to yield dominant switching losses at higher frequencies, due to parasitic capacitances, thus reducing the drain efficiency. The oversampling ratio of the BPDSM is determined a key performance factor, because of its impact on both the coding efficiency and the switching losses.</span></div> <div><span style="font-size:14px">These theoretical results are confirmed in simulations. Additionally, it is found that the coding efficiency is limited by the input signal mean amplitude and Peak-to-Average Ratio (PAR), for signal preservation through the BPDSM and class D stage. However, no conclusive bandwidth limitation of the BPDSM class D PA is found in this study. Approaches to address the respective limitations, and alternative topologies that could improve performance, are mentioned.</span></div> <div><br /></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Licentiatseminarium-Sean-Miller-200609.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Licentiatseminarium-Sean-Miller-200609.aspxSean Miller, Fysik<p>Online via Zoom</p><p>​ Titel på licentiatuppsatsen: &quot;Nucleon-nucleon scattering in a wave-packet formalism&quot;​ Följ presentationen online​</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div><span style="font-size:14px"><span></span>​“In this thesis I analyse the prospect of leveraging statistical analyses of the strong nuclear interaction by using the wave-packet continuum discretisation (WPCD) method to efficiently compute nucleon-nucleon (NN) scattering observables on a graphics processing unit (GPU). The WPCD method gives approximate solutions to the S-matrix at multiple scattering energies at the cost of a single eigendecomposition of the NN channel Hamiltonian. In particular, I demonstrate and analyse the accuracy and inherent parallelism of the WPCD method by computing the most common NN scattering observables using a chiral Hamiltonian at next-to-next-to-leading order. I present an in-depth numerical study of the WPCD method and the GPU acceleration thereof. Additionally, I discuss which windows of opportunity are open for studying the strong nuclear interaction using data from few-nucleon scattering experiments.”</span></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Jacob-Olander-200610.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Jacob-Olander-200610.aspxJacob Olander, Physics and Astronomy<p>Online via zoom</p><p>​ Titel på masterarbetet: &quot;Constrained space MCMC methods for nested sampling Bayesian computations&quot; Följ presentationen online​ Password: 105329​</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div><span style="background-color:initial">Natural phenomena can in general be described using several different scientific models, which creates a need for systematic model selection. Bayesian model comparison as- signs relative probabilities to a set of possible models using the model evidence (marginal likelihood), obtained by an integral that in general needs to be evaluated numerically. Nested sampling is a conceptual framework that efficiently estimates the model evidence and, additionally, provides samples from the model parameter posterior distribution used in Bayesian parameter estimation. A vital step of nested sampling is the likelihood- constrained sampling of the model parameter prior distribution, a task that has proven particularly difficult and that is subject to ongoing research. In this thesis we implement, evaluate and compare three methods for constrained sampling in conjunction with a nested sampling framework. The methods are variants of Markov chain Monte Carlo algorithms: Metropolis, Galilean Monte Carlo and the affine-invariant stretch move, respectively. The latter is applied in the context of nested sampling for the first time in this work. The performances of the methods are assessed by their application to a reference problem that has a known analytical solution. The problem is inspired by effective field theories in subatomic physics where the model parameters take the form of coefficients that are of natural size. We conclude that the efficiency and computational accuracy of nested sampling is strongly dependent on the choice of sampling method and the settings of its associated hyperparameters. In certain cases, especially for high-dimensional parameter spaces, the implementations of this work are seen to achieve better computational accu- racy than MultiNest, a state-of-the-art nested sampling implementation extensively used in astronomy and cosmology. Generally for nested sampling, we observe that it is possible to obtain an inaccurate result without receiving any clear warning signs indicating that this is the case. However, we demonstrate that the validity of the computational results can be assessed by monitoring the sampling process. </span></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentationer-fysik-200610.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentationer-fysik-200610.aspxMasterpresentationer<p>Online via Zoom</p><p>Björn Lönn: &quot;Need for Speed - Integrating the Worlds Fastest Hydrogen Sensor onto a Miniaturized Platform&quot; Sarah Zulfa Khairunnisa: &quot;Systematic Study of PdAuCu Alloy Nanoplasmonics for Hydrogen Gas Detection&quot; Damien Pierce: &quot;An Investigation Into the Effects of Ozone on a Nanoplasmonic Gas Sensor​</p><a href="https://chalmers.zoom.us/j/69135965698" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />​Följ presentationerna online</a><br />Lösenord: 176802https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Hillevi-Wachtmeister-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Hillevi-Wachtmeister-200611.aspxHillevi Wachtmeister, Physics<p>Online via Zoom</p><p>​ Titel på masterarbetet: &quot;Tracking marine micro organisms using deep learning</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div><span style="background-color:initial">The goal</span><span style="background-color:initial"> of this project is to develop a software that can be used to study swimming patterns of marine micro organisms. The software is based on a neural network, which is trained to recognize different types of plankton. The predictions from the network are then used to find the positions of the plankton, and then track their movements.</span></div> <div> </div> <div><br /></div> <div> </div> <div>The project is divided into two parts. First, videos containing only one type of plankton, Lingulodinium polyedra and Alexandrium tamarense respectively, are analyzed. A type of neural network, called U-net, is trained to segment the input images into background and plankton sections. From the segmented images, positions can be obtained and then connected to form a trajectory for each plankton. The drift of the plankton movements is calculated and subtracted from the trajectories, and finally the speed and net displacement is calculated. The results from the single plankton experiments are compared to a previous analysis that was made using the algorithmic method TrackMate.</div> <div> </div> <div><br /></div> <div> </div> <div>Secondly, videos containing two types of plankton are analyzed. Two experiments are conducted using Strombidium arenicola and Rhodomonas baltica in the first experiment, and Alexandrium tamarense and Rhodomonas baltica in the second. The segmented images, obtained from the U-net, consists of an additional plankton section for the second type of plankton present in the experiment.</div> <div> </div> <div><br /></div> <div> </div> <div>The analysis of the single plankton experiments yields longer and fewer trajectories using the U-net method, compared to the previous TrackMate results. This shows that the TrackMate method is losing plankton at more positions, compared to the U-net method. The U-net method is therefore able to track each plankton for a longer time. The multi-plankton experiments proves the network's ability to distinguish and track multiple plankton at the same time.</div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Robin-Pfeiffer-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Robin-Pfeiffer-200611.aspxRobin Pfeiffer, Materials Engineering<p>Online via Zoom</p><p>​Titel på masterarbetet: Pt / Pt3Y Fuel Cell Nanoparticle Catalyst Fabrication via Sputter Deposition onto Liquid Substrates Följ presentationen online​ Password: 198470</p><h2 class="chalmersElement-H2">Sammanfattning:</h2> <div><span style="background-color:initial">Thi</span><span style="background-color:initial">s</span><span style="background-color:initial"> thesis pres</span><span style="background-color:initial">ents an overview on the fabrication of Pt and Pt3Y nanoparticles via sputtering onto liquid substrates for potential use in the catalysis of the oxygen reduction reaction in modern fuel cells. It could be shown that spherical nanoparticles with diameters in the range of 1 - 4 nm can be formed by sputtering onto different liquids. Ionic liquids as well as polyethylene glycol could be proved to be suitable for Pt nanoparticles. However, Pt3Y seemed to react with ionic liquids to form undesirable structures and compounds. Sputtering of Pt3Y onto polyethylene glycol resulted in the formation of nanoparticles without any unwanted reactions. Compared to an ionic liquid substrate, polyethylene glycol produced nanoparticles with a slightly broader particle size distribution due to less effective stabilization mechanisms. Summarized, the liquid polymer turned out to be the best liquid substrate candidate for the formation of Pt3Y nanoparticles.</span></div> <div> </div> <div><br /></div> <div> </div> <div>The size of the nanoparticles varied slightly with the applied liquid substrate without exhibiting significant trends. Furthermore, the size appeared to increase by roughly 20 - 30 % by means of a post heat-treatment at 165 °C. An elevated sputtering power resulted in larger particle sizes but an unchanged particle concentration, which points out a particle formation and growth mechanism at the liquid surface. This suggestion could be validated by an investigation of the visual appearance of the sputtered wafers. The nanoparticles fabricated in polyethylene glycol were shown to be catalytically active for the oxygen reduction reaction in an acidic environment by rotating disc electrode measurements. Alloying the nanoparticles with Y led to an electrocatalytic activity enhanced by a factor 1.67 compared to pure Pt nanoparticles. This proves the particles’ potential application in fuel cells and provides motivation for further research on this topic.</div> <div> </div> <div></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Sebastian-Lundquist-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Sebastian-Lundquist-200611.aspxSebastian Lundquist, Physics and Astronomy<p>Online via Zoom</p><p>Titel på masterarbetet: &quot;Bayesian Model Averaging of Nuclear Mass Models&quot; Följ presentationen online Lösenord: 812042​</p><h2 class="chalmersElement-H2">Sammanfattning: ​</h2> <div>In this thesis we investigate the performance of Bayesian inference and Bayesian model averaging (BMA) applied to two nuclear mass models, the Duflo-Zuker 10 parameter model (DZ10) and the semi-empirical mass formula (SEMF). The DZ10 and SEMF models both have theoretically and experimentally motivated terms but the relative importance of them is less clear. Using Bayesian inference and BMA we have attempted to quantify model uncertainties and improve inference about nuclear masses. To explore the robustness of our BMA analysis we compare the results using different choices of parameter priors, and vary the assumed model discrepancy. The main focus is on the DZ10 model. We employ the Atomic Mass Evaluation from 1983 (AME83) for parameter estimation, then we evaluate the predictive power of the model using the Atomic Mass Evaluation from 2016 (AME16). In an attempt to determine the limits of stability of visible matter we also make a prediction for the neutron drip lines, in the tin isotopic chain (Z=50) using the DZ10 model trained on AME16. The 1-neutron drip line is predicted to neutron number N=123 [95, 125], and the 2-neutron drip line at N=115 [103, 125]. Where the error bar corresponds to a 67% degree of belief.​</div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/M-Pettersson-F-olofsson.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/M-Pettersson-F-olofsson.aspxExjobbspresentation: Mikaela Petterson and Frida Olofsson<p>Online</p><p>​Title: FR-4 based Microstrip-to-waveguide transition for 77 GHz automotive antennas​ The presentation will be online: https://chalmers.zoom.us/j/67350411975</p><strong>​</strong><span style="background-color:initial;font-size:14px"><strong>Abstract</strong></span><div><span style="font-size:14px">Automotive radar technology develops rapidly, with high demands on price and miniaturization for an optimal vehicle integration. The progressive occupation of the frequency spectrum along with a demand for improved resolution, forces radars to operate at higher frequencies. This by nature puts stricter requirements on mechanical alignment and material properties. The challenges associated with the use of higher frequencies have to be overcome, simultaneously as the devices have to remain cost efficient. </span></div> <div><span style="font-size:14px">This master thesis has investigated the possibility to use FR-4 substrates in the transition between a printed circuit board based feeding network, and a waveguide antenna for automotive radar applications (76-81 GHz). FR-4 substrates are woven using glass fiber 'threads' where the empty space between the threads are filled with resin. Due their mechanical stability and low price, these materials are commonly used at frequencies up 20 GHz. However, as frequency increases, the non-homogeneous structure could lead to unpredictable signal behaviour and increased loss. The aim of the thesis was to find the limitations following the integration of these types of substrates in a microstrip-to-waveguide transition from 76-81 GHz. </span></div> <div><span style="font-size:14px">For this, theoretical and practical investigations of different FR-4 substrates and its implication in a transition was done. A characterisation method for these substrates is presented, along with measurements of the transition manufactured in the selected material configurations. The back-to-back measurements of the transitions indicates that at least one of the investigated FR-4 materials could be suitable for an automotive radar application, showing not more than 0.2 dB/mm loss compared to 0.1 dB/mm associated with the transition used today.</span></div> <div><br /></div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/R-Jelinek-P-Ljungqvist.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/R-Jelinek-P-Ljungqvist.aspxExjobbspresentation: Robert Jelinek and Pontus Ljungqvist<p>Online</p><p>​Titel: VOIP över VHF kommunikation för marin räddningsdrönare Handledare: Mattias Thorsell The presentation will be held online: https://chalmers.zoom.us/j/61747539262</p><strong>​</strong><span style="background-color:initial;font-size:14px"><strong>Abstrakt</strong></span><div><span style="font-size:14px">Radio communication with maritime VHF has always been limited by distance, as long distances result in a difficulty in communicating with base stations along the coastline. This leads to the commander having difficulties receiving the vital communication between boats that occurs during a rescue mission, if it is not within a reasonable distance of the ongoing mission. The purpose of this project is to create a solution to current radio communication for the Swedish Naval Rescue Society in their vision of using autonomous drones during rescue missions. The report depicts the process of researching the creation of a solution for using a VHF radio module on a drone and forwarding the signals to a webpage. This allows for a commander to organize missions without geographical restrictions that occurs for communication at this frequency band.</span></div> <div><br /></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Linnea-Strandberg-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Linnea-Strandberg-200611.aspxLinnéa Strandberg, Applied Physics<p>Online via Zoom</p><p>​Titel på masterarbetet: &quot;Fabrication and Characterisation of Fuel Cell Catalyst Nanoparticles via Laser Ablation&quot; Följ presentationen online​ Password: 891639​</p><h2 class="chalmersElement-H2">​Sammanfattning: </h2> <div><span style="background-color:initial">This report investigates the feasibility of using laser ablation in liquid (LAL) to produce nanoparticles to be used as catalysts in fuel cells, with a focus on producing Pt3Y-particles for use in proton exchange membrane fuel cells (PEMFC). Energy-dispersive X-ray spectroscopy (EDX) and X-ray photoelectron spectroscopy (XPS) measurements indicate that the yttrium was oxidised during the fabrication process, and, thus, not forming the alloy with platinum as aimed for. Similarly, when ionic liquids were used as the ablation liquid, much of the yttrium reacted with fluorine present in the liquid. Taken together, the lack of metallic yttrium indicates that the particles were formed by evaporation and condensation of atoms from the target surface in the liquid phase rather than from ejection of droplets.</span></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Christoffer-Henriksson-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Christoffer-Henriksson-200611.aspxChristoffer Henriksson, Applied Data Science<p>Online via Zoom</p><p>​Titel på masterarbetet: &quot;Predicting Cycle Life of NMC Cells by Discharge Capacity Voltage Curves&quot; Följ presentationen online​</p><h2 class="chalmersElement-H2">​Sammanfattning: </h2> <div><span style="background-color:initial">The biggest issue with rechargeable batteries is arguably their limited lifetime. They suffer from capacity degradation and power fade, and their performance decreases as they age. Estimating the remaining useful life is therefore an important task. However, the complex internal aging mechanisms are difficult to model. Recently, machine learning has become a promising approach for predicting remaining useful life. This thesis evaluates whether a new elastic net machine learning model trained on data from LFP cells can be used to predict cycle life of NMC cells. The model uses capacity and voltage data during discharge phases to derive a feature highly correlated to cycle life. Four commercial NMC cells were cycled in Chalmers Electric Power Battery Lab to collect cycling data. The model was able to make useful cycle life predictions for these cells, which suggests that the approach is applicable to other lithium-ion cells.</span></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Jakub-Fojt-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Jakub-Fojt-200611.aspxJakub Fojt, Applied Physics<p>Online via Zoom</p><p>​Titel på masterarbetet: Hot-carrier generation and transfer across nanoparticle-molecule interfaces Följ presentationen online​</p><h2 class="chalmersElement-H2">​Sammanfattning: </h2> <div><span style="background-color:initial">Metallic nanoparticles are important materials for emerging sensing and catalysis technologies. Their special properties stem from the presence of a localized surface plasmon resonance (LSPR) mode that can couple to visible light. The LSPR causes the nanoparticle to scatter and absorb more light at frequencies that match the plasmon energy. The plasmon excitation has a lifetime of a few femtoseconds before it dephases into a distribution of electrons and holes with</span></div> <div> </div> <div>a strongly athermal energy distribution. In this thesis, time-dependent density functional theory has been employed to study these phenomena in Ag nanoparticles.</div> <div> </div> <div><br /></div> <div> </div> <div>In the first part of this thesis, the photoabsorption spectra were systematically calculated for a series of Ag nanoparticles between N=13 and 586 atoms in size. The main findings are that the LSPR peak frequency depends linearly on N-1/3.</div> <div> </div> <div><br /></div> <div> </div> <div>When a plasmon forms in a nanoparticle in the vicinity of a molecule it may dephase into a transition of an electron from the nanoparticle to the LUMO state of the molecule, or from the HOMO state of the molecule to an unoccupied state in the nanoparticle. These processes are termed direct hot-electron transfer and direct hot-hole transfer, respectively. In the second part of the thesis, a systematic study was carried out in which a CO molecule was placed at different distances from the nanoparticle, and the system was excited with a laser pulse. The results indicate that for this system direct hot-electron transfer happens with a probability of around 1% and is only weakly dependent on the molecule-nanoparticle separation until it decays to zero at large distances. Meanwhile, hot-hole transfer is between 0.2 and 0.3% at a distance of 1.8Å and decays monotonically. Contributing factors to the differences are that the molecular LUMO state is much more delocalized at large separations than the HOMO state. The most important criterion for transfer to occur is an alignment in energy between the nanoparticle and molecule densities of state.</div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/J-Karlsson-U-Shehryar.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/J-Karlsson-U-Shehryar.aspxExjobbspresentation: Johan Karlsson och Usman Shehryar<p>Online</p><p>​Titel: GaN Reflection Oscillator Design for Low Phase Noise Using a High Q Tunable Cavity ResonatorThe thesis, which is carried out at Ericsson AB, is adressing the challenge to design a wide-band GaN-HEMT MMIC reflection amplifier with integrated phase shifter. The  design is to be connected to an external high-Q tunable cavity with the purpose to reach ultra-low phase noise performance required in future microwave communication link applications. The presentation will be held online: https://chalmers.zoom.us/j/62258620525 Password: 540229</p>​<span style="background-color:initial;font-size:14px"><strong>Abstrakt</strong></span><div><span style="font-size:14px">One of the main limiting factors that prevents higher data rates in the communication systems of today is the phase noise of oscillators. To reach lower phase noise, the most effective improvement is to use resonators with higher quality factor, Q. On-chip resonators typically have poor quality factor so an external resonator is preferred from a performance perspective.  Another way of lowering phase noise is to increase the power inside the oscillator, e.g., by using a high-power device technology. </span></div> <div><span style="background-color:initial">This thesis presents simulation and design of two Gallium Nitride (GaN) MMIC based reflection type oscillators with integrated phase shifters, designed in WIN Semiconductors NP15 GaN HEMT technology. The integrated phase shifter can be used for compensating interconnect parasitics as well as phase locking with a PLL.  The designs are intended for high-Q mechanically tunable cavity resonators for two different frequency bands, 11.6 to 13.0 GHz and 13.3 to 14.7GHz.</span></div> <div><span style="font-size:14px">Beside oscillator design, the thesis presents, transistor-model port de-embedding, required to extract a three port transistor model from the grounded source-via model available in the design kit.</span></div> <div><span style="font-size:14px">Simulations based on WIN’s design kit, de-embedded device model, and measured cavity S parameters indiciate minimum phase noise of -133 dBc/Hz at 100 kHz offset for the the low-frequency band and -140 dBc/Hz at 100 kHz offset for the high-frequency band.</span></div> <div><br /></div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Mahdi-Mohajeri.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Mahdi-Mohajeri.aspxExjobbspresentation: Mahdi Mohajeri<p>Online</p><p>​Titel: “Fabrication of high-reflectivity HfO2/SiO2 distributed Bragg reflectors for UVC VCSELs”</p>​Handledare: Filip Hjort<div>Examinator: Åsa Haglund</div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Joey-Frey.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Joey-Frey.aspxExjobbspresentation: Joey Frey<p>Online</p><p>​Titel: Optical characterization of two-dimensional WSe2 flakes for quantum light emissionHandledare och examinator: Witlef Wieczorek Presentationen hålls online: https://chalmers.zoom.us/j/66544494359, lösenord 304071</p>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Victor-Rosendal-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Victor-Rosendal-200611.aspxVictor Rosendal, Applied Physics<p>Online via Zoom</p><p>​ Titel på masterarbetet: Optical response of nanoalloy hydrogen sensors from first-principles Följ presentationen online​</p><h2 class="chalmersElement-H2">​​Sammanfattning: </h2> <div>Hydrogen shows promise as a replacement for conventional fossil fuels. However, its high flammability and gas permeability pose high demands on sensors, which must respond quickly and accurately. Nanoscaling improves the kinetics and allows for optical hydrogen sensing. A nanoscaled metallic sensor typically shows a well-defined extinction peak in the optical regime and one proposed sensing technique is to detect the shift in said peak due to hydrogenation.</div> <div> </div> <div><br /></div> <div> </div> <div>The aim of this thesis is to, from first-principles, study the optical response of PdAu nanodisks as a function of hydrogenation. PdAu:H was mainly treated as a random alloy but thermodynamic structures were also investigated. Cluster expansions were used in combination with Monte Carlo simulations to generate thermodynamically representative PdAu:H structures. The dielectric functions for the random and the thermodynamic structures were calculated by applying static and time-dependent density functional theory. Optical extinction spectra of PdAu:H nanodisks were obtained via electromagnetic finite-difference time-domain simulations using the previously calculated dielectric functions.</div> <div> </div> <div><br /></div> <div> </div> <div>The extinction peak of nanodisks with a diameter of 100 nm and height 20 nm showed a redshift due to hydrogenation over the entire range of gold concentrations of 0 to 42% considered here, and the redshift is approximately linear with respect to hydrogen. Even though there is non-trivial ordering in the thermodynamic PdAu:H structures, no clear difference between the random and thermodynamic case was observed in the optical response.</div> ​https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Disputation-Cecilia-Fager-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Disputation-Cecilia-Fager-200611.aspxCecilia Fager, Materialvetenskap<p>Online via Zoom</p><p>Titel på doktorsavhandlingen: &quot;Quantitative 3D reconstruction of porous polymers using FIB-SEM tomography: Correlating materials structures to properties of coatings for controlled drug release&quot; Följ disputationen live på Fysiks Youtubekanal​​​</p><h2 class="chalmersElement-H2">Sammanfattning:</h2> <div><span style="font-size:14px"></span><span></span><div><span style="font-size:14px">Understanding the correlation between materials structures and properties enables the optimisation of materials and tailoring them for specific applications. This work concerns porous networks in polymer coatings and in particular films for controlled drug release. The porous networks act as transport paths for drugs. To tailor the drug release, the correlation between the porous network and the transport properties is crucial. The network needs to be characterised in three dimensions (3D) and high spatial resolution 3D data can be acquired using a focused ion beam combined with scanning electron microscope (FIB-SEM) tomography. The FIB-SEM utilises an ion beam to perform serial sectioning and the electron beam to image the cross-section surface.</span></div> <div><span style="font-size:14px">The aim of this work was to develop a generic protocol for optimised FIB-SEM tomography for soft, porous and poorly conducting materials and to use the quantitative experimental data to simulate transport properties. The protocol was used for model porous polymer films and polymer film coated pellets representative of structures used for controlled drug release in pharmaceuticals. The 3D reconstruction and quantitative evaluation of the porous network provided information about important structural characteristics such as pore connectivity, tortuosity and geodesic paths. The structural information was used to simulate transport properties and explained the experimentally measured diffusion properties of different porous polymer films.</span></div></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Andreas-Hellstrom-200611.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Andreas-Hellstrom-200611.aspxAndreas Hellström, MPSES<p>Online via Zoom</p><p>​Titel på masterarbetet: ”Hydrogen production and storage at Renova – A preliminary analysis”</p>​<b>Sammanfattning</b>: Publiceras under juni månad<br /><br /><a href="https://chalmers.zoom.us/j/65837412045" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Följ presentationen online​</a><br />Password: 658 3741 2045​ ​https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masters-thesis-presentation-Lukas-Nystrom-200612.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masters-thesis-presentation-Lukas-Nystrom-200612.aspxLukas Nyström, MPCAS<p>Online via Zoom, (Veterans General Hospital, Taipei, Taiwan)</p><p>​Titel på masterarbetet: Inter-hospital brain tumour diagnostics using Private Federated Learning Följ presentationen online​​ Meeting ID:94422537863 password: 20200612</p><h2 class="chalmersElement-H2">​Sammanfattning: </h2> <div><span style="background-color:initial">I </span><span style="background-color:initial">have implemented and analysed the possibility of using Private Federated Learning as a tool to perform decentralised, collaborative training of Deep CNN models for brain tumour segmentation. The general goal is to develop an AI system that can assist medical professionals in their diagnoses of patients, thereby reducing the time and resources required. The main obstacle in medical AI is the lack of high quality data which implies that it would be beneficial to train models across several instituitons, since each individual hospital has insufficent amounts of cases. However, due to the sensitive nature of patient journals extensive privacy regulations prohibit the sharing of such samples outside of the hospital. Federated Learning is an attempt to circumvent this issue by sharing and aggregating model updates instead, thus artifically increasing the apparent size of the data set without actually breaching the integrity of any individuals. Besides empirically evaluting different models and configurations in order to find one that provides human level performance, I have also conducted an extensive theoretical review of additional privacy mechanism that can further strengthen the integrity of the system against malicous attackers. This includes the use of Differential Privacy, Homomorphic Encryption and other kinds of Secure Multiparty Computation techniques. The study concludes that it is indeed feasible to create such a federated model, at a minor 11% performance cost relative to if the data had been centralised. However the federated model is 30% better than any of the models created by each institution on their own which shows that Federated Learning is the best available option for a real world scenario.</span></div> https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Yin-Zeng-.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Yin-Zeng-.aspxExjobbspresentation: Yin Zeng<p>Online</p><p>​Titel: Characterization and Modeling of Static and Dynamic Breakdown Characteristics of AlGaN/GaN HEMTsHandledare och examinator: Niklas Rorsman</p>Presentationen hålls online: <span style="font-size:11pt;font-family:calibri, sans-serif"><a href="https://chalmers.zoom.us/j/68090141752"><span lang="EN-US">https://chalmers.zoom.us/j/68090141752</span></a></span>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/A-Engstrom.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/A-Engstrom.aspxExjobbspresentation: Arimande Engstrom<p>Online</p><p>​Title: Spin-momentum locking in Dirac semimetal Supervisor and examiner: Saroj Prasad Dash</p>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Disputation-Mikael-Valter-200612.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Disputation-Mikael-Valter-200612.aspxMikael Valter, Fysik<p>Online</p><p>​Titel på doktorsavhandlingen: &quot;Modelling electrooxidation of glycerol and methanol on close-packed transition metal surfaces&quot; Följ disputationen live på Fysiks Youtubekanal​​​ ​</p><h2 class="chalmersElement-H2">Sammanfattning:</h2> <div><span style="background-color:initial">Användandet av fossila bränslen leder till ökad koldioxidhalt i atmosfären och orsakar klimatförändringar som hotar samhällen och natur. För att stoppa detta måste olja, kol och naturgas ersättas av bränslen från hållbara källor. Ett sådant alternativt bränsle för användning i transportsektorn är biodiesel, ett odlat bränsle tillverkat från växtfetter. Vid framställningen av biodiesel får man glycerol som biprodukt. Glycerol är en trögflytande, ofarlig vätska som används i exempelvis salvor för att inte torka ut huden. Ökad global biodieselframställning leder till att betydligt mer glycerol framställs än vad det finns användning för. Istället för att betrakta överskottet som avfall, vore det bättre att dra nytta av det. I det här arbetet undersöker vi elektrooxidation för att utvinna vätgas och andra värdefulla produkter från glycerol. Vätgas kan användas som bränsle i bränsleceller, eller för att uppgradera biobränslen. På så sätt kan biobränslen bli mer miljövänliga.</span></div> <div> </div> <div><span style="font-size:14px"><br /></span></div> <div> </div> <div><span style="font-size:14px">Vi fokuserar i detta arbete på den mikroskopiska processen på elektrodens yta, där glycerol fastnar och omvandlas med hjälp av elektrisk spänning. Det är viktigt att förstå hur hårt möjliga mellansteg och produkter binder till ytan, eftersom det avgör vilken väg reaktionen kommer att gå. Ett bra elektrodmaterial styr reaktionen mot de önskvärda produkterna. Syftet med detta arbete är att bygga modeller för att söka efter sådana material.</span></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Oskar-Lindroos-200615.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Oskar-Lindroos-200615.aspxOskar Lindroos, Physics and Astronomy<p>Online via Zoom</p><p>​Titel på masterarbetet: &quot;Prospects for the Discovery of General Dark Matter-Induced Atomic Responses&quot; Följ presentationen online​ Password: 572245</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div>One of the major mysteries of modern physics is dark matter. Proposed by Fritz Zwicky in 1933, dark matter stands as the answer to several astronomical observations, but its constituents remain unkown. Since current observations only show dark matter interacting gravitationally, one can assume that the dark matter particle is a massive, weakly interacting particle also referred to as a WIMP. In an attempt to find the dark matter particle, large underground detectors have been constructed. These detectors utilize the principle of direct detection in order to detect weakly interacting particles. As the Earth passes through the halo of dark matter within the Milky Way one expects the flux of dark matter particles that arises to produce a signal within these experiments. However, so far a signal that cannot be anything other than dark matter remains to be found. This thesis will present the sensitivities for future direct detection experiments under the assumption of general dark matter-electron interactions. We provide the underlying theory of a model describing general dark matter-electron interactions in the non-relativistic frame which we use to simulate event rates in active experiments. Based on the null results in current experiments, we perform a statistical analysis in order to find the lowest detectable coupling constant for different sets of interactions corresponding to a specific dark matter particle mass. We express the sensitivity of future direct detection experiments in terms of statistical significance for signal discovery.​</div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Ida-Svenningsson-200615.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Ida-Svenningsson-200615.aspxIda Svenningsson, Applied Physics<p>Online via Zoom</p><p>​Titel på masterarbetet: &quot;Hot-tail runaway electron generation in cooling fusion plasmas&quot; Följ presentationen online​</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div>Runaway electrons pose a threat to safe operation of magnetic confinement fusion reactors due to the damage they can cause on the reactor wall. During a fast cooling of a fusion plasma, the electric field strength increases and high-energy electrons are accelerated to relativistic speeds, a process called hot-tail runaway generation. To mitigate their effect, reliable and efficient theoretical models to predict generation of hot-tail electrons are of importance. Current numerical methods are computationally expensive and the accuracy of available analytical models has not been found satisfactory. In this work, analytical and simplified numerical models for hot-tail generation including a self-consistent description of the electric field are proposed. The models are benchmarked against numerical simulations and their regions of validity are explored. ​</div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Daniel-Mansson.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/Daniel-Mansson.aspxExjobbspresentation: Daniel Månsson<p>Online</p><p>​Titel: Design of Ultra-wideband Waveguide Transitions and Directional Couplers Presentationen hålls online:  https://chalmers.zoom.us/j/66627363025 Password: 237695​</p>​The thesis, which is carried out at Ericsson AB, is adressing challenges in Ericsson Mini-Link transceiver modules. Specifically, the thesis adresses the design of wideband directional couplers as well as microstrip-to-waveguide transitions. The aim is to reduce the number of variants needed to cover the bandwidth. A number of different implementations of directional couplers and microstrip to waveguide transitions have been integrated on a multilayer PCB. Trade offs between size and performance are considered for different frequencies. https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Christoffer-Olofsson-200615.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Christoffer-Olofsson-200615.aspxChristoffer Olofsson, Physics and Astronomy<p>Online via Zoom</p><p>​ Titel på masterabetet: &quot;Models of sub-cycle electromagnetic pulse generation in laser-plasma interaction&quot; Följ presentationen online​</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div><span style="background-color:initial">S</span><span style="background-color:initial">ub-cycle</span><span style="background-color:initial"></span><span style="background-color:initial"> pulses are ultra-short laser pulses containing less than a single oscillation and are essential tools in the study of matter at the shortest timescales. It has been recently proposed that such pulses can be attained by letting laser pulses interact with a plasma to generate amplified and compressed pulses. In the scheme of laser wakefield driven amplification (LWDA), an initial seed pulse is modulated by traveling electron plasma waves, forming amplified sub-cycle pulses. In this thesis we investigate the underlying mechanism of sub-cycle pulse generation in the scheme of LWDA. An analytical approach using the method of Green's functions is used in conjunction with particle-in-cell simulations. Moreover, a custom code solving Maxwell's equations with a source term given by a non-linear plasma wave model is implemented and its results compared with particle-in-cell simulations.</span></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Tobias-Sandstrom_Lars-Jansson-200615.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Tobias-Sandstrom_Lars-Jansson-200615.aspxTobias Sandström och Lars Jansson, MPCAS<p>Online via Zoom</p><p>​Titel på masterarbetet: Graph Convolutional Neural Networks for Brain Connectivity Analysis Följ presentationen online​</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div><span style="background-color:initial">We explore the strengths and limitations of Graph Convolutional Neural Networks (GCNs) for classification of graph structured data. GCNs differs from regular Artificial Neural Networks (ANNs) in that they operate directly on graph structures by defining convolutional operators in a non-euclidean space. We show that GCNs perform well on graph structured data, where regular ANNs typically fail due to the arbitrary ordering of nodes. Different GCN architectures are examined and compared to simplistic ANNs. Tests are initially performed on simulated data sets with implicit class-dissimilarities in regards to graph structures. We demonstrate that GCNs is vital in accurately classifying the simulated data. Network performance is later evaluated on structured MRI-data, displaying cortical thicknesses for 68 regions in the brain of patients with Alzheimer's disease and a healthy control group. On the structured MRI-data, both GCNs and regular ANNs are shown to be able classifiers. However, it is crucial for the performance of ANNs that an order of nodes can be imposed on the MRI-data from labeled brain regions.</span></div>https://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/LCS-PV.aspxhttps://www.chalmers.se/sv/institutioner/mc2/kalendarium/Sidor/LCS-PV.aspxLinnaeus Coffee Seminar with Pontus Vikstål<p>Kollektorn, lecture room, Kemivägen 9, MC2-huset</p><p></p>​Title and abstract TBA<div>​<div><span style="background-color:initial">Coffee and cake will be served before the talk at 14.00</span><div>Welcome!</div></div></div>https://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Benjamin-Midtvedt-200615.aspxhttps://www.chalmers.se/sv/institutioner/fysik/kalendarium/Sidor/Masterpresentation-Benjamin-Midtvedt-200615.aspxBenjamin Midtvedt, Engineering Mathematics and Computer Science<p>Online via Zoom</p><p>​Titel på masterarbetet: DeepTrack: A comprehensive deep learning framework for digital microscopy&quot; Följ presentationen online Password: 952882​</p><h2 class="chalmersElement-H2">​Sammanfattning:</h2> <div><span style="background-color:initial">​Despite the rapid advancement of deep-learning methods for image analysis, they remain underutilized for the analysis of microscopy images. State of the art methods require expertise in deep-learning to implement, disconnecting the development of new methods from end-users. The packages that are available are typically highly specialized, challenging to reappropriate, and almost impossible to interface with other methods. Finally, training deep-learning models often requires large datasets of manually annotated images, making it prohibitively difficult to procure training data that accurately represents the problem. DeepTrack is a deep-learning framework targeting optical microscopy, designed to account for each of these issues. Firstly, it is packaged with an easy-to-use graphical user interface, solving standard microscopy problems with no required programming experience. Secondly, it bypasses the need for manually annotated experimental data by providing a comprehensive programming API for creating representative synthetic data, designed to exactly suit the problem. DeepTrack creates physical simulations of samples described by refractive index or fluorophore distributions, using fully customizable optical systems. To accurately represent the data to be analyzed, DeepTrack supports arbitrary optical aberration and experimental noise. Thirdly, many standard deep-learning methods are packaged with DeepTrack, including architectures such as U-NET, and regularization techniques such as augmentations, decreasing the barrier to entry. Finally, the framework is fully modular and easily extendable to implement new methods, providing both longevity and a centralized foundation to deploy new deep-learning solutions. We demonstrate the versatility of DeepTrack by training networks to solve a broad range of common microscopy problems, including particle tracking, cell-counting in dense biological samples, multi-particle 3-dimensional tracking, and cell segmentation and classification. </span></div>https://www.chalmers.se/sv/centrum/fysikcentrum/kalendarium/Sidor/Lise-Meitner-award-2020.aspxhttps://www.chalmers.se/sv/centrum/fysikcentrum/kalendarium/Sidor/Lise-Meitner-award-2020.aspxFRAMFLYTTAT - Prisceremoni och föreläsning – Göteborgs Lise Meitnerpris 2020<p></p><p>​​Eventet är framflyttat på grund av rådande situation med Corinavirusets spridning i samhället. Arrangörerna återkommer med nytt datum under hösten 2020. 2020 års pristagare av Göteborgs Lise Meitner pris är professor Anne L’Huillier verksam vid Lunds universitet. Den 24 september besöker hon Fysikcentrum Göteborg och tar emot utmärkelsen. I samband med prisceremonin håller professor L’Huillier traditionsenligt en föreläsning i den österrikiska/svenska fysikerns ära.  Välkommen att delta!Förfriskningar serveras efter föreläsningen.​ Läs mer om Anne L’Huillier​ på vår engelska sida​ Läs mer om Lise Meitner award</p>