Reservoir Computing with Real-time Data for future IT (RECORD-IT)

The aim of this proposal is to develop an intelligent biocompatible sensing device which detects complex behavioural changes in ion concentrations. The sensor will use wet NOMFETs, coated Si nanowires, self-conjugated polymers, arrays of photocells, flow of lipids. The level of ions will be measured by monitoring changes in the response function of the system. The high sensitivity of the device will be achieved by ensuring a strong coupling between the environment and the device. The key research challenges will be: accessing the feasibility of the idea to use reservoir computing for sensing complex environmental changes, identifying suitable integration strategies for the components, optimizing the sets of input/output pairs (response functions) and the device components for enhanced sensitivity.

Partner organizations

  • Centre national de la recherche scientifique (CNRS) (Research Institute, France)
  • University of Basel (Academic, Switzerland)
  • The French Alternative Energies and Atomic Energy Commission (CEA) (Research Institute, France)
  • Technische Universität Dresden (Academic, Germany)
  • The Hebrew University Of Jerusalem (Academic, Israel)
  • Ruder Boskovic Institute (Research Institute, Croatia)
  • AGH University of Science and Technology (Private, Poland)
Start date 01/09/2015
End date The project is closed: 31/08/2018


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 664786; Call: H2020-FETOPEN-2014-2015-RIA; Funding Scheme: Research and Innovation action.

Project leader (coordinator)

Chalmers University of Technology
Department of Microtechnology and Nanoscience - MC2
+46 31 772 5480

Partners and roles

 Zoran Konkoli (Chalmers, Gothenburg, Sweden): theory, reservoir computing, component models, device simulator
Aldo Jesorka (Chalmers, Gothenburg, Sweden): experiment, microfluidic ion delivery and integration
Dominique Vuillaume (CNRS/IEMN, France): experiment, organic transistors
Michel Calame (UNIBAS, Basel, Switzerland): experiment, silicon nanowires
Konrad Szacilowski (AGH-UST, Krakow, Poland): experiment, photo-sensitive semiconductor powders
Shlomo Yitzchaik (HUJI, Jerusalem, Israel): experiment, nECM chemistry
Christian GAMRAT (CEA, Saclay, France): theory, artificial neural networks and integration
Rafael Gutierrez (TUD, Dresden, Germany): theory, first principle calculations
Giovani Cuniberti (TUD, Dresden, Germany): theory, first principle calculations
Željko Crljen (RBI, Zagreb, Croatia): theory, component models

Project in brief

The RECORD-IT project deals with the development of a novel sensing paradigm. We leverage the reservoir computing ideas to develop intelligent sensing substrates that can both collect and process information at the same time. The goal of the project is to streamline the SWEET sensing principle towards experimental demonstrators. The SWEET principle emphasizes the use of the filter behavior, where a dynamical system accumulates the information about the environment over time. The idea of the filter is central in reservoir computing. The information about the environment is inferred by studying the response of the system under controller stimulus. The goal is to demonstrate the SWEET principle on the challenging problem of ion sensing. The envisioned RECORD-IT device is a combination of various components that respond to the ionic solutions. These components work in synergy, so that the sensing capacity of the system is larger than the sum of individual sensing capacities. The project is organized as a cluster of activities that support the main common goal, the development of ion sensitive components and their integration towards the experimental demonstrator.


The consortium was meeting twice a year on a regular basis. An FET Open project is a very dynamical activity, where many things are tried, and equally many dismissed after trying. One often works at the spearhead of the scientific activity, and not only within a given discipline, but also across disciplines. In this context, face-to-face meetings were a very important tool in achieving project goals. The meetings were organized to exchange important ideas, but also foster new ones.

During the consortium meetings, we (a) informed, (b) learned from each other, and (c) inspired each other. Once a consortium meeting was over, a spontaneous e-mail exchange or skype meetings usually followed.

The consortium meetings fulfilled a very important task on the human interaction front. During a consortium meeting everyone was meeting, PIs together with the members of their nodes. This was a chance for students to meet and foster important contacts. We realized that the discussions among students were an extremely valuable resource, since many initiatives and the related activities were spawned by such discussions in the bottom-up manner.

In brief, we have had relatively large number of meetings. We were a very active consortium. The consortium meetings we organized are as follows:

Kick-off meeting, Brussels, November 5, 2015: The meeting started with individual presentations were every partner introduced their node. This was followed by further sharpening and consolidating the main ideas put forward in the proposal. 

Consortium meeting, Dubrovnik, May 19, 2016: A very productive meeting in a lovely environment. Many ideas have been generated. During that meeting, we made a crucial decision regarding the integration options. We decided that the best strategy to proceed with integration is to avoid technological/engineering difficulties and focus on science. We coined the idea of the RECORD-IT motherboard, as a flexible/modular/plug-in platform where every partner can stick in a sensor component, and the motherboard will take care of the integration.

Y1 review meeting, Brussels, October 26, 2016: In connection with the official review meeting in the REA quarters, we have organized the usual consortium meeting as a satellite activity. The evaluators’ comments were both sharp and extensive, which kept us on our toes. At that point the project was running well, every partner was on track, but the evaluator nevertheless challenged us proactively on a number of issues. A particular question that was raised was the question of the RECORD-IT benefit, and a specific request to explain how we will address the SWEET/RECORD-IT principle. 

Y1 review reflection meeting, Frankfurt, December 12, 2016: This meeting was organized to act in a focused fashion to the feedback received during the earlier mid-review meeting. We decided to heed to the evaluator’s advice and simplify the pattern recognition task for the demonstrator. We decided to focus on two environment types: the varying and the static. We reflected on the motherboard idea, once again, decided to proceed with it, and discussed concrete communication protocols among different components. We tried to standardize these.

Consortium meeting, Krakow, June 2017: The meeting was “business as usual”. The scientific part was mixed with a strategic discussion among the senior partners. We exchanged the ideas, but also we were thinking proactively, towards the project goals and the final demonstrator. 

Consortium meeting, Jerusalem, October 2017: The meeting like all others, but also we discussed possible collaboration with other projects. Since we matured as a consortium, it felt the right time to consider such options. We have engaged in the discussions with the coordinator and the senior partners of the PHRESCO project. Further, since the components matured we started zooming in on the specific integration aspects.

Consortium meeting, Dresden, April 2018: Here we realized that in the “heat of the action”, over the project time, the motherboard concept had turned into a virtual motherboard. Again, to avoid technological integration challenges, in seeking integration solutions, we fell a step back with a conscious sacrifice to emphasize important science. We relaxed the motherboard idea, and realized that we have to allow for more flexible integration setup, which we started calling virtual motherboard. This meeting was very radical in a way, that the partners stated openly which ideas they gave up on, and which ideas to intend to pursue to the “bitter end”. 

The final review meeting, Brussels, October 2018: We presented a series of demonstrators (a combination of videos, and actual devices brought to the meeting) using the virtual motherboard concept. For a nonprofessional, these might look like an incomprehensible jungle of wires and components, but these demonstrators performed what they were meant to do: demonstrate the SWEET/RECORD-IT primitives.

Other meetings: In addition to the review and the consortium meetings introduced above, we have held a range of smaller meetings, where the partners met in smaller groups. On top of these, the coordinator was touring the partner nodes for better integration and information spreading. The theoretical partners had such focused meetings where the development of the simulator and the component models were discussed. These were followed up by extensive follow-up discussions with the experimental partners for the integration of ideas.


An FET Open project is equally about technology as it is about the science that sustains the technological development. For people who are not familiar with the FET programs, this might sound an odd statement, but the key deliverable of an FET Open project should be a technology. Thus, in the project we were very cautious about the technological aspects. For each scientific activity we have undertook, we were always eyeing the related technological options.

Patents: As a result, we have attempted two provisional USPTO patent applications (CHALMERS: the SWEET sensing algorithm, HUJI: complex surface chemistry steps for electrochemical device preparation).

Startups: Further, we have two startups in making: (1) Empa/UNIBAS: MOMM Diagnostics GmbH, an R&D oriented startup in life sciences focusing on medical diagnostics, was established in Basel, Switzerland in February 2018; (2)CHALMERS: in the process of founding a multi-sensor chip company.

Launchpad applications: In the 2017 call, we have participated in a Launchpad program with one big joint applications where we presented three independent but somewhat related ideas. Another Launchpad proposal has been submitted recently (the October 2018 call).

Others: Early on in the project, we have participated in the conference “Opening doors on responsible research and innovation”, Manchester, July 2016. The main theme of the conference was on the importance of orienting research towards societal challenges and boosting the innovation capabilities of the project. Several cases have been discussed in the conference. This conference was a great source of inspiration for handling the innovation aspects in the project. One of the key insights from the conference was that an innovation in its initial phase does not look much; one should have an eye to see the potential when it is there. The Manchester conference sharpened our instincts.

Data management

The data management files of the RECORD-IT project are stored in here!

Environmental signals used for numerical experiments

Data set description: The theoretical work involved extensive numerical simulations of several environment sensitive networks containing memristors, Warburg, and FET elements. The data set describes the actual time-series data used to model two classes of environments: stable and varying.
Standards and metadata: Tabulated data, with the time as the first column.
Data sharing: Please follow the above link and download from the folder “DeviceOperationSimulation > EnvironmentalSignals”.

Device response signals

Data set description: The time series-data for memristance values for simpler environment sensitive memristor networks.
Standards and metadata: Tabulated data, with the time as the first column.
Data sharing: Please follow the above link and download from the folder “DeviceOperationSimulation > SimulatedResponses”.

OECT device sensing operation data

Data set description: Several data sets that were obtained by measuring the response of OECT networks under the influence of various ionic solutions.
Standards and metadata: Self-explanatory excel tabulated data files.
Data sharing: Please follow the above link and download from the folder “DeviceOperationMeasurementOECT”.

Photosensitive diode sensing operation data

Data set description: Several data sets pertinent to the measurements of the response of the photosensitive diode under the influence of various ionic solutions.
Standards and metadata: Self-explanatory excel tabulated data files.
Data sharing: Please follow the above link and download from the folder “DeviceOperationMeasurementPhotoDiode”.


Data set description: This data set contains rentgenographic structures of new materials and compounds prepared in the frame of the project. These experimental data were needed to resolve the internal molecular structure of new compounds and materials.
Standards and metadata: These datasets will be prepared according to crystallographical standards.
Data sharing: Please follow the above link and download from the folder “XRAY”.

Project description

This description contains informal expose of the key scientific ideas that the project explores. For the formal presentation of the key scientific ideas please refer to the publication [1] (open access)

What is the project about?

The RECORD-IT project deals with the development of a novel sensing paradigm. The established paradigm of reservoir computing (RC) is being further developed for sensing applications. The big question addressed in the project is: Are there specific features of reservoir computing that are suitable for realizing sensing applications? Our hypothesis is that the answer to the question is a resounding “yes”: we are using the reservoir as the sensing unit. A procedure for implementing this strategy has been presented as a rigorous mathematical algorithm, the SWEET sensing algorithm [1]. In fact, the algorithm is essentially an algorithmic template, a user manual for exploiting reservoir computing actively in the sensing context. The consortium develops the algorithm further and works on a particular implementation in the context of ion sensing in a liquid. A sketch of the envisioned device is depicted below.

Reservoir computer: A reservoir computer consists of a generic dynamical system that responds to an input signal, a reservoir, and a configurable readout layer. A typical reservoir computer is used for time-series data information processing, e.g. such as the pattern recognition. The remarkable insight is that in principle any computation is possible if the dynamical system used to realize the reservoir is complex enough (there is a precise mathematical formulation: the reservoir should have the separability property). To achieve specific functionality (e.g. a pattern recognition task) one simply needs to adjust (train) the readout layer. This can be achieved in a supervised learning fashion (e.g. one simply adjusts the readout layer until the desired computation is achieved).

RC and sensing, versus, RC for sensing: We coined the term “reservoir computing for sensing” to emphasize the fact that when used actively the reservoir cannot be replaced by other information processing system without seriously altering the functionality of the device. For “reservoir computing and sensing” approaches, the reservoir computer can be safely replaced by some other information processing system. For example, if a reservoir computer is used to post-process the information that is collected from a set of sensors, it can be safely replace by other information processing unit (e.g. with an artificial neural network). 

The RC added value: In the context of time-series data analysis, as a paradigm of computation, reservoir computing has a distinct set of advantages that can be exploited in practice [2, 3]. First, there is an enormous flexibility regarding the choice of the hardware used to implement the reservoir. Second, any computation can be performed provided the reservoir is complex enough. Third, once constructed this way, an RC device has the ability to perform responsive real-time computation, with accuracy (any computation!) and expressive power only limited by the complexity of the reservoir. Collectively, these features (flexibility, responsiveness, accuracy, and power) are the RC added value that can be exploited in information processing applications.

The traditional sensing setup: To understand the key goals of the project it is important to appreciate in which ways is the RECORD-IT idea different from the traditional sensing setup. In the traditional sensing setup, the flow of information is linear. The information about the environment one wishes to analyze is extracted by a sensing unit, which is followed by a series of analysis steps that feed into each other. At the end of the chain, the initial extracted information is being processed into a statement about the environment. This way of sensing is extremely powerful, since it is very direct, with a controlled flow of information. However, it is also harder to engineer, and the information might be lost in the cascade of the analysis steps.

The RECORD-IT sensing setup: The RECORD-IT project explores a different idea, with a more flexible setup. The RECORD-IT sensing setup features two components: the environment one wishes to sense, and the reservoir that acts as a sensing unit (reacts to the environment). The reservoir is referred to as the state weaver. The weaver, due to the interaction with the environment, weaves the series of environmental states (over time) into its own state. This naturally suggests the following sensing principle: The environment encodes its presence in the state of the weaver, and the weaver state should depend on everything that the weaver and the environment have experienced together. The environment and the reservoir/weaver form a super-reservoir with a coupled set of states that evolve in time. By “querying” the weaver about its state one should be able to recover/decode the information about the environment that is stored in the weaver state. Note that in this setup there is no linear flow of information, and accordingly, there is no loss of information by layered information processing steps. Further, there is no need to engineer carefully the weaver-environment interaction, so such a device might offer some distinct technological advantages by enabling more flexible designs.

What is the aim of the project?

The aim of the project is to demonstrate the RC added value by building a prototype that explores the SWEET/RECORD-IT sensing principle. The RECORD-IT project deals with a further development and a particular implementation of the SWEET sensing algorithm in the context of ion detection.

Leveraging the RC added value: We leverage this RC added value to demonstrate a powerful ion sensing device with the sensing ability that is super-linear in the number of components (the sensing ability of the device is larger than the sum over the sensing abilities of all components). To demonstrate the sensing principle, we decided to target a very challenging sensing problem: the pattern recognition on the information embedded in the trajectories of ions in a solvent (a highly complex environment). In principle, such a device should be able to detect and analyze a non-random pattern in the ion dynamics, accurately and in real-time, with a great flexibility regarding the choice of the hardware used to implement the device.

Potential applications we envision

What is the future of medical sensing? Clearly increasing the sensitivity and specificity features are important goals, but it is also important to achieve, real time, local information processing, without a huge software overlay. This can only be achieved, by embedding advanced data processing capabilities on the sensing nodes. In the project, RC is used actively to address the efficient integration of both sensing and data processing capabilities on a single device, to provide an actual intelligent sensing substrate, a smart biosensor. The computation should be performed in hardware without extensive software overlay. This makes it suitable for embedded sensing applications. We envision the largest impact in the area of biomedical sensing devices.

How should the results benefit the society?

Within the intended scope of the ion sensing the lead users will be biochemical design engineers, medical researchers and bio-tech companies. However, the SWEET sensing algorithm is generic and can be applied to many information processing problems.

Other related projects:

  • PHotonic REServoir Computing (PHRESCO); H2020 ICT-25-2015: Generic micro- and nano-electronic technologies;
  • The CEA partner has been involved in the development of the N2D2 platform;


1.            Konkoli, Z., On developing theory of reservoir computing for sensing applications: the state weaving environment echo tracker (SWEET) algorithm. International Journal of Parallel, Emergent and Distributed Systems, 2016: p. 1-23.
2.            Jaeger, H. and H. Haas, Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. Science, 2004. 304(5667): p. 78-80.
3.            Konkoli, Z., On reservoir computing: from mathematical foundations to unconventional applications, in Advances in Unconventional Computing, A. Adamatzky, Editor. 2016, Springer.


Dissemination in breif

The dissemination has been a very important activity for the project: The project has generated ca 25 publications (refereed scientific articles), we have delivered 29 conference presentations. We have disseminated the project over social media (facebook, twitter, linkedin). The project has been mentioned during TV/Radio interviews (Nesweek Poland, popular science Croatian radio program).


- Shijun Xu et al, A rapid microfluidic technique for integrated viability determination of adherent single cells, Analytical and Bioanalytical Chemistry 407, 1295 (2015). pdf

- Pecqueur, S.; Lenfant, S.; Guérin, D.; Alibart, F.; Vuillaume, D. Concentric-Electrode Organic Electrochemical Transistors: Case Study for Selective Hydrazine Sensing, Sensors 2017, 17, 570. doi/arXiv

- Pecqueur, S.; Guerin, D.; Vuillaume, D.; Alibart, F.Cation Discrimination in Organic Electrochemical Transistors by Dual Frequency Sensing. Organic Electronics 2018, 57, 232–238. doi/arXiv

- Pecqueur, S.; Mastropasqua Talamo, M.; Guerin, D.; Blanchard, P.; Roncali, J.; Vuillaume, D.; Alibart, F. Neuromorphic Time-Dependent Pattern Classification with Organic Electrochemical Transistor Arrays. Adv. Electron. Mater.2018, 345, 1800166. doi/arXiv

- E.Mervinetsky, I.Alshanski, Y.Hamo, L.Sandonas, A.Dianat, J.Buchwald, R.Gutierrez, G.Cuniberti, M.Hurevich, S.Yitzchaik, Copper Induced Conformational Changes of Tripeptide Monolayer Based Impedimetric Biosensor, Scientific Reports7, nr.9498 (2017)

- A.Gankin, R.Sfez, E.Mervinetsky, J.Buchwald, A.Dianat, L.Medrano Sandonas, R.Gutierrez, G.Cuniberti, S.Yitzchaik, Molecular and Ionic Dipole Effects on the Electronic Properties of Si-/SiO2-Grafted Alkylamine Monolayers, ACSAppl. Mater. Interfaces 9, 44873 (2017) pdf

- S.Yitzchaik, R.Gutierrez, G.Cuniberti, R.Yerushalmi, Diversification of Device Platforms by Molecular Layers Hybrid Sensing Platforms, Monolayer Doping&Modeling, accepted for publication in Langmuir (2018)

- Charge Noise in Organic Electrochemical Transistors, R.L. Stoop, K.Thodkar, M. Sessolo, H.J. Bolink, C. Schoenenberger, and M. Calame, Phys. Rev. Applied, 7, 14009 (2017).

- Active Surfaces as Possible Functional Systems in Detection and Chemical (Bio) Reactivity, C.E. Housecroft, C.G Palivan, K. Gademann, W. Meier, M: Calame, V. Mikhalevich, X. Zhang, E. Piel, M. Szponarski, A. Wiesler, A. Lanzilotto, E.C Constable, A. Fanget, R.L Stoop, Chimia, 70 (6), 402-412 (2016). pdf

- Implementing Silicon Nanoribbon Field-Effect Transistors as Arrays for Multiple Ion Detection, R.L. Stoop, M. Wipf, S. Müller, K. Bedner I.A. Wright, C.J. Martin, E.C. Constable, A. Fanget, C. Schönenberger and M. Calame, Biosensors 6(2) 21 (2016). pdf

- E. Wlaźlak, W. Macyk, W. Nitek, K. Szaciłowski „Influence of πIodide Intermolecular Interactions on Electronic Properties of Tin(IV) Iodide Semiconducting Complexes” Inorg. Chem. 2016, 55, 5935−5945.

- K. Pilarczyk, K. Lewandowska, K. Mech, M. Kawa, M. Gajewska, B. Barszcz, A. Bogucki, A. Podborska, K. Szaciłowski “Charge transfer tuning in TiO2 hybrid nanostructures with acceptor–acceptor systems”, J. Mater. Chem. C. 2017, 5, 2415-2424. doi/arXiv

- M. Kawa, A. Podborska, K. Szaciłowski „ Interactions between graphene oxide and wide band gap semiconductors” J. Phys. Conf. Ser. 2016, 745, 032102. pdf

- A. Blachecki, J. Mech-Piskorz, M. Gajewska, K. Mech, K. Pilarczyk, K. Szaciłowski „Organotitania-based nanostructures as a suitable platform for the implementation of binary, ternary and fuzzy logic systems”, ChemPhysChem 2017, 18, 1798-1810. pdf

- M.A. Cardona, D. Makuc, K. Szaciłowski, J. Plavec, D.C. Magri “Water-Soluble Colorimetric Amino[bis(ethanesulfonate)] Azobenzene pH Indicators: A UV−Vis Absorption, DFT, and 1H−15N NMR Spectroscopy Study” ACS Omega, 2017, 2, 6159-6166. pdf

- K. Pilarczyk, E. Wlaźlak, D. Przyczyna, A. Blachecki, A. Podborska, V. Anathasiou, Z. Konkoli, K. Szaciłowski, Molecules, semiconductors, light and information: Towards future sensing and computing paradigms.Coordination Chemistry Reviews, 2018, 365, 23-40V.

- E. Wlaźlak, J. Kalinowska-Tłuścik, W. Nitek, S. Klejna, K. Mech, W. Macyk, K. Szaciłowski „Triiodide organic salts:photoelectrochemistry at the border between insulators and semicinductors: ChemElectroChem 2018 (accepted for publication).

- Mervinetsky, E.; Alshanski, I.; Hamo, Y.; Sandonas, L.M.; Dianat, A.; Buchwald, J.; Gutierrez, R.; Cuniberti, G.; Hurevich, M.; Yitzchaik, S.Copper Induced Conformational Changes of Tripeptide Monolayer Based Impedimetric BiosensorSci. Reports2017, 7, 9498-9504.

- Gankin, A.; Sfez, R.; Mervinetskiy, E.; Buchwald, J.; Dianat, A.; Sandonas, L.M.; Gutierrez, R.; Cuniberti, G.; Yitzchaik, S.Molecular and Ionic Dipole Effects on the Electronic Properties of Silicon Grafted Alkylamine MonolayersACS Appl. Mater. Interfaces2017, 9, 44873-44879.

- Tadi, K.K.; Alshanski, I., Mervinetskiy, E.; Marx, G.; Petrou, P.; Karussis, D.M., Gilon, C.; Hurevich, M.; Yitzchaik, S.Oxytocin-monolayerBased Impedimetric Biosensor of Zn2+and Cu2+ACS Omega2017, 2, 8770−8778.

- Ikbal, M.; Mervinetsky, E.; Balogh D.; Sfez R.; Yitzchaik, S.“Light Induced Aggregation of Gold Nanoparticles and Modifications of Silicon Surface Potential”J. Phys. Chem.2017,121(48), 27176-27181.

- Yitzchaik, S.; Gutierrez, R.; Cuniberti, G.; Yerushalmi, R., “Diversification of Device Components by Molecular Layers; Monolayer Doping, Hybrid Sensing Platforms & Modeling“ Langmuirfeatured article2018, -in press.

- Tadi, K.K.; Alshanski, I., Hurevich, M.; Yitzchaik, S.“Impedimetric Sensing of Copper (II) Ion Using Oxytocin as Recognition Element” Interfaces 2018 –in press.

- Konkoli, Z. On developing theory of reservoir computing for sensing applications: the state weaving environment echo tracker (SWEET) algorithm. International Journal of Parallel, Emergent and Distributed Systems, 2016. DOI: 10.1080/17445760.2016.1241880. pdf

- V. Athanasiou and Z. Konkoli On using reservoir computing for sensing applications: exploring environment-sensitive memristor networks. International Journal of Parallel, Emergent and Distributed Systems, 2017. DOI: 10.1080/17445760.2017.1287264.

- V. Athanasiou and Z. Konkoli, On the efficient simulation of electrical circuits with constant phase elements: The Warburg element as a test case. International Journal of Circuit Theory and Applications, 2018. 46(5): p. 1072-1090.

Conference presentations

 - J. Thiele, O. Bichler and A. Dupret.A Timescale Invariant STDP-Based Spiking Deep Network for Unsupervised Online Feature Extraction from Event-Based Sensor Data, World Congress in Computational Intelligence, WCCI 2018, Rio de Janeiro, July 2018.

 - 3rd International Symposium Organic Bio Electronics in Italy (OrBItaly17), Cagliari (Italy), 25-27 October 2017.Dual Sensing in a Single Organic Electrochemical Transistor (OECT).S. Pecqueur, S. Lenfant, D. Guérin, F. Alibart & D Vuillaume.

 - SPIE Organic Photonics & Electronics, San Diego (USA), Aug. 6-10 (2017).Adaptive 2D memory-like devices with molecules and nanoparticles for unconventional computing. D. Vuillaume. (INVITED)

 - E-Mat. Res. Soc., Spring Meeting, Lille (France), May 2-6 (2016).Adaptive devices with molecules and nanoparticles.D. Vuillaume. (INVITED)

 - Journées d’Electrochimie 2017, Bordeaux (France), June 26-29 (2017).Electrochemical study of thiophene-based polymers for cation sensing.M. Mastropasqua Talamo, M. Oçafrain, O. Alévêque, E. Levillain, P. Blanchard, J. Roncali.

 - Solvay workshop on “Charge, Spin, and Heat Transport in Organic Semiconductors”, Brussels (Belgium), November 15-17 (2016).Electrochemical study of thiophene-based polymers for cation sensing.M. Mastropasqua Talamo, M. Oçafrain, P. Blanchard, J. Roncali.

 - Dept. of Engineering Sciences, University of Uppsala, Sweden, June 8, 2017. A Silicon-based platform for biochemical sensing

 - MRS Fall Meeting, Boston, USA, November 28 - December 2, 2016. Noise and Limit of Detection in Organic Electrochemical Transistors for Biosensing Applications

 - Trends in Micro Nano, Swiss MNT Network, Bienne, Switzerland, Oct. 25, 2016, Invited talk. Transistors de nanofils de silicium pour la détection de ions et protéines

 - Kista Science Seminar, Royal Institute of Technology (KTH), Stockholm, Sweden, September 28, 2016, Seminar. From ions to proteins sensing using Si-Nanoribbons transistors

 - European & Global Summit for Cutting-Edge Medicine - Clinical Nanomedicine and Targeted Medicine, Basel, June. 26-29, 2016. On-chip biochemical sensing using Si nanoribbon field-effect transistors

 - From Solid State to Biophysics VIII: From Basic to Life Sciences, Dubrovnik, Croatia, June 4-11, 2016. Chemical & biochemical sensing with Si-based transistors

 - E-MRS Spring meeting - Symposium O: Group IV semiconductors at the nanoscale - towards applications in photonics, electronics and life sciences, Lille, France, May 02-06, 2016. Si nanoribbon transistors for chemical and biochemical sensing

 - K. Pilarczyk, E. Wlaźlak, M. Lis, A. Podborska, K. Szaciłowski „Novel information processing devices: A material Odyssey” International Conference on Semiconductors, Sinaia, Romania, 2016.

 - A. Blachecki, M. Kawa, K. Mech, M. Lis, K. Pilarczyk, M. Suchecki, E. Wlaźlak, Z. Konkoli, K. Szaciłowski „Coordination compounds, light and information. Towards future sensing and computing paradigms”, International Symposium on Photochemistry and Photophysics of Coordination Compounds, Oxford, UK, 2017.

 - K. Pilarczyk, K. Szaciłowski “From binary to ternary and fuzzy logic in molecular and nanoscale systems” International Conference on Multivalued Logic, Linz, Austria, 2018.

 - K. Pilarczyk, A. Podborska, K. Szaciłowski “Smart materials in nanoscale information processing” World Congress of Smart Materials, Singapore, 2017.

 - Z. Konkoli, K. Szaciłowski „Smart materials for sensing and information processing” World Congress of Smart Materials, Bangkok, Thailand, 2017.

 - A. Blachecki, M. Kawa, K. Mech, M. Lis, K. Pilarczyk, M. Suchecki, E. Wlaźlak, Ž. Crljen, Z. Konkoli, K. Szaciłowski „Photoelectrochemical sensors, neuromimetic devices and reservoir computers” Molecules and Light, Zakopane, Poland, 2017.

 - K. Pilarczyk, K. Szaciłowski “On the use of hybrid materials for the implementation of multi-valued logic and neuromorphic computing formalisms” Molecular sensors and Molecular Logic Gates, Dalian, China, 2018.

 - K. Pilarczyk, Ewelina Wlaźlak, D. Przyczyna, A. Blachecki, A. Podborska, V. Anathasiou, Z. Konkoli, K. Szaciłowski „Novel photoelectrochemical sensors and logic devices” Molecular sensors and Molecular Logic Gates, Dalian, China, 2018.

 - E. Wlaźlak, W. Macyk, W. Nitek, K. Szaciłowski „Crystal engineering of tin(IV) complexes. A new playground for optoelectronics”, NanoTech Poland, Poznań, Poland, 2016.

- PPES 2018, Photoinduced Processes in Embedded Systems, Pisa (Italy), June 24-27 (2018), Nanocomposites based on graphene oxide-titanium dioxide as a possible photoelectrochemical ion sensors, Z. Crljen, I Loncaric, M. Kawa, K. Szaciłowski.

Links to social media

We have opened the facebook, twitter, and linked in channels to disseminate the information about the project to the public. We have adhered to the "Social media guide for EU funded R&I projects" (Version 1.0, April 2018). The idea behind this initiative was started was to both disseminate, but also receive input from public, and respond to it. The facebook page can be reached here, the project is mentioned under the linked in accout here, and there is a twitter account it here and a mention  here.

Funded by

  • European Commission (Horizon 2020) (Public, Belgium)

Published: Wed 04 Nov 2015. Modified: Thu 22 Nov 2018