Events: Nanovetenskap och nanoteknikhttp://www.chalmers.se/sv/om-chalmers/kalendariumUpcoming events at Chalmers University of TechnologyMon, 28 Nov 2022 17:46:39 +0100http://www.chalmers.se/sv/om-chalmers/kalendariumhttps://www.chalmers.se/en/research/strong/nano/calendar/Pages/smalltalks-5-december.aspxhttps://www.chalmers.se/en/research/strong/nano/calendar/Pages/smalltalks-5-december.aspxSmallTalks: Graphene-based biosensors for bacterial infection<p>PJ, seminar room, Kemigården 1, Fysik Origo</p><p>​​​​Welcome to a seminar in the series SmallTalks [about Nanoscience] arranged by the Excellence Initiative Nano​. Speaker: Flavia Ferrara, Doctoral Student at Chemistry and biochemistry/Chemistry and Chemical Engineering</p>​Abstract:<div>Ever heard of the word triazole? well, what if I say that a triazole is a molecule that can be useful to detect bacterial infections? In the presentation, I will go through the making of a ´´Biosensor´´. In this device, triazoles are put together to form a receptor having selective interactions with some peptides derived from bacterial disease. This receptor will then be attached to graphene that, thanks to its formidable conductive properties, will give us an easily detectable signal when the interaction occurs.​<br /></div>https://www.chalmers.se/en/centres/chair/events/AI-Ethics/Pages/AI-Ethics-with-Emma-Engstrom.aspxhttps://www.chalmers.se/en/centres/chair/events/AI-Ethics/Pages/AI-Ethics-with-Emma-Engstrom.aspxAI Ethics with Emma Engström<p>Online, register to receive the link</p><p>​A new world with AI-driven decisions – implications for privacy, autonomy, and democracy</p><div>​<img src="/SiteCollectionImages/20220701-20221231/Emma%20Engström.jpg" alt="Photo of Emma Engström" class="chalmersPosition-FloatRight" style="margin:5px" /><br />AI has recently transformed from an obscure academic endeavor to a driver of the fourth industrial revolution. With ever-advancing machine learning algorithms, AI can make ever-more precise inference using an ever-expanding set of behavioral data online. In particular, AI that functions as decision-support has developed and spread amazingly fast.</div> <div><br /></div> <div>This presentation articulates some of the ensuing social challenges. It accounts for work in progress within the project <em>Predicting the diffusion of artificial intelligence (WASP-HS)</em>, in which we ask:</div> <div>How are AI-technologies adopted in society? Do they diffuse similarly as earlier general-purpose technologies? Do concerns about privacy, autonomy, and fairness influence potential adopters of AI? What are the social and ethical implications of the AIs that are likely to spread particularly fast?</div> <br /><div><strong>Emma Engström</strong> is a researcher within the theme <em>The societal impact of new technologies</em> at the Institute for Futures studies in Stockholm, and a researcher at the Department of Urban planning and Environment (KTH). She holds a PhD in Environmental Engineering (KTH), an MSc in Engineering Physics (KTH), and a BSc in Political Science (Uppsala University). Her research interests span broadly across topics within Technology in Society.</div> <div><span id="ms-rterangecursor-start"><br /></span></div> <div><a href="https://ui.ungpd.com/Surveys/2dfca98a-c795-4a7f-b25d-559c65919c06" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Register here to receive the link to the seminar</a><br /></div>https://www.chalmers.se/en/areas-of-advance/production/calendar/Pages/Recycling-of-Critical-Raw-Materials-for-Solar-Cell-Industry.aspxhttps://www.chalmers.se/en/areas-of-advance/production/calendar/Pages/Recycling-of-Critical-Raw-Materials-for-Solar-Cell-Industry.aspx​Solar Cell Recycling<p>online</p><p>​Welcome to listen to Burçak Ebin, when he talks about &quot;​Recycling of Critical Raw Materials for Solar Cell Industry from Production Waste and End-of-Life Solar Modules​&quot;.</p><div><br /></div> <div><b>DATE:</b> 8 DEC, 2022</div> <div><b>TIME: </b>11:00-12:00</div> <div>30 min talk, then 30 min for Q&amp;A</div> <div><b><a href="https://ui.ungpd.com/Surveys/39807056-3ade-4459-984e-0a3c6ebb1dc3" target="_blank">ONLINE. Please register for Zoom link and password.​</a></b> You can register until the event starts.</div> <div><br /></div> <div><b>ABSTRACT</b></div> <div>Solar energy is accepted as the key to a clean energy future and limiting the effects of climate change. The energy transformation from fossil fuels to renewable sources has significant challenges due to raw material shortages. International Energy Agency has an ambitious target to reach photovoltaic (PV) solar panel capacity that covers more than 20% of the global energy demand. Although policymakers and manufacturers draw a bright future, natural source limitation is a nightmare for PV technology. Additionally, end-of-life solar panels will dramatically affect the waste stream, and currently, there is no sustainable recycling for their waste. </div> <div>Our research maps the critical metals for PV industry and their circularity and developing recycling processes of these metals from manufacturing and end-of-life waste. The analysis clearly showed that silver, indium, and gallium supplies are the bottlenecks of the industry due to resource limitations and the importance of the other industrial applications of these metals. Although recycling critical metals from production waste requires straightforward processes, there are still technical and economical challenges to implementation. Considering end-of-life PV modules, their recycling requires a com​bination of mechanical, pyrometallurgical and hydrometallurgical processing approaches. </div> <div><br /></div> <div><br /></div> <div><a href="/en/staff/Pages/Burcak-Ebin.aspx">Dr. Burcak Ebin​</a>, <span style="background-color:initial">Associate Professor, Department of Chemistry and Chemical Engineering, Industrial Materials Recycling, </span><span style="background-color:initial">is working on recycling of alkaline, NiMH and Li-ion battery waste by pyrometallurgical processes. In the case of the pyrometallurgical processes, there are two possibilities of treatment: processes of secondary metallurgy, which uses batteries as raw material, and processes created specifically for batteries.</span></div> <span></span><div></div> <div><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:calibri, sans-serif"><b><a href="/en/departments/chem/news/Pages/Perfecting-the-EV-battery-recycling-process.aspx" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Learn more about the recycling research​</a></b></p></div> <div><br /></div> <div><em>This event is part of the Production Area of Advance seminar series, for community building and sharing knowledge among researchers within the production area. But it's open to all interested, with very few exceptions.</em><br /></div> <div><em><br /></em></div> <div></div>https://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/AI4Science-with-Tess-E.-Smidt.aspxhttps://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/AI4Science-with-Tess-E.-Smidt.aspxAI4Science with Tess E. Smidt<p>Online</p><p>​Euclidean Symmetry Equivariant Machine Learning – Overview, Applications, and Open Questions</p>​<img src="/SiteCollectionImages/Centrum/CHAIR/events/Tess%20Smidt%20webb.jpg" class="chalmersPosition-FloatRight" alt="Photo of Tess Smidt" style="margin:5px" /><br />Atomic systems (molecules, crystals, proteins, etc.) are naturally represented by a set of coordinates in 3D space labeled by atom type. This is a challenging representation to use for machine learning because the coordinates are sensitive to 3D rotations, translations, and inversions (the symmetries of 3D Euclidean space).<br /><br /><div>In this talk I’ll give an overview of Euclidean invariance and equivariance in machine learning for atomic systems. Then, I’ll share some recent applications of these methods on a variety of atomistic modeling tasks (ab initio molecular dynamics, prediction of crystal properties, and scaling of electron density predictions). Finally, I’ll explore open questions in expressivity, data-efficiency, and trainability of methods leveraging invariance and equivariance.</div> <br /><strong>Tess Smidt</strong> is an Assistant Professor of Electrical Engineering and Computer Science at MIT. Tess earned her SB in Physics from MIT in 2012 and her PhD in Physics from the University of California, Berkeley in 2018. Her research focuses on machine learning that incorporates physical and geometric constraints, with applications to materials design.<br /><br />Prior to joining the MIT EECS faculty, she was the 2018 Alvarez Postdoctoral Fellow in Computing Sciences at Lawrence Berkeley National Laboratory and a Software Engineering Intern on the Google Accelerated Sciences team where she developed Euclidean symmetry equivariant neural networks which naturally handle 3D geometry and geometric tensor data.<br /><br /><a href="https://chalmers.zoom.us/j/67663462974" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Connect via Zoom</a><br /><strong>Password:</strong> ai4sciencehttps://www.chalmers.se/en/areas-of-advance/materials/Calendar/Pages/TANDEM-SEMINAR-Material-recycling-possibilities,-shortcomings-and-policy-instruments.aspxhttps://www.chalmers.se/en/areas-of-advance/materials/Calendar/Pages/TANDEM-SEMINAR-Material-recycling-possibilities,-shortcomings-and-policy-instruments.aspxMaterial recycling – possibilities, shortcomings and policy instruments<p>Online</p><p>Welcome to a Tandem Webinar with Christer Forsgren, Consultant in Industrial Recycling and Christian Ekberg, Prof. Energy and Material, Industrial Materials Recycling and Nuclear Chemistry.  Focus on the webinar is : Metal recycling. Time: 2 Febuary, 12:00-13:00. Place: Online, platform Zoom. Register to the webinar ​​</p><span style="background-color:initial;font-weight:700"><img src="/SiteCollectionImages/Institutioner/KB/Energi%20och%20material/profile%20pictures/Christian%20Ekberg%201%20170x170%20(002).jpg" alt="Christian Ekberg" class="chalmersPosition-FloatRight" style="margin:5px" />E</span><span style="background-color:initial;font-weight:700">verything can be recycled, cost the only limit</span><br /><div>The present transition towards a more sustainable society requires elements and materials that neither are mined or recycled in EU.<br />Indium in flat screens, neodymium in strong magnets and lithium in batteries are a few examples. There are several techniques to obtain recycled materials with various purity, even like virgin material. These techniques include hydrochemistry, pyro chemistry and super critical fluids. All these techniques are used at Chalmers University of Technology and have pros and cos, which we will discuss. on the webinar​.<br /><br /></div> <div><br /></div> <div><span></span><span style="background-color:initial"><span style="font-weight:700"><img src="https://www.euric-aisbl.eu/images/stories/flexicontent/m_300_christer_forsgren.jpg" alt="Christer Forsgren" class="chalmersPosition-FloatRight" style="margin:5px;width:175px;height:175px" />Program​</span>:<br /></span><ul><li>12 PM, The webinar starts. Moderator: Leif Asp, Co-Director Chalmers Area of Advance Materials Science</li> <li>Christian Ekberg, Prof. Energy and Material, Industrial Materials Recycling and Nuclear Chemistry.<span style="background-color:initial"></span></li> <li><span style="background-color:initial"><span style="font-weight:700"></span></span>Christer Forsgren, Consultant in Industrial Recycling.</li> <li><span style="background-color:initial"><span style="font-weight:700">Q&amp;A</span></span></li></ul> <br /></div> <a href="/en/areas-of-advance/materials/news/Pages/2022-tandem-seminar.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />​H<span style="background-color:initial">ere you find Area of Advance Materials Science new exciting seminars all connected to the challenges of the future.</span></a><div><span style="background-color:initial"><br /></span></div>