September 2021 - Bnc-faculty-all-list

Reminder: BNC Faculty Seminar Series: Speaker - Arun Kumar Mannodi Kanakkithodi- September 30th | 12noon | via Zoom
by Black, Nancy Lee 30 Sep '21

30 Sep '21

Gentle reminder [cid:image001.jpg@01D7B5D1.3327AEF0] The BNC Faculty Seminar Series is designed to provide faculty a platform to present an overview of their research and the opportunity for collaborative discussion with other BNC faculty and researchers across six colleges and 15 academic units. Arun Kumar Mannodi Kanakkithodi Assistant Professor, School of Materials Engineering, Purdue University September 30th, 2021 | 12:00pm Join Zoom: https://purdue-edu.zoom.us/j/98695180597 [Arun Kumar Mannodi Kanakkithodi]Title: Tuning Optoelectronic Properties of Semiconductors using High-Throughput Computations and Machine Learning Abstract: Semiconductors with desirable electronic band structure and optical absorption are sought for solar cells, electronic devices, infrared sensors, and quantum computing. Compositional manipulation via alloying at cation or anion sites, or via incorporation of point defects and impurities, can help tune the properties of semiconductors in known chemical spaces. In this work, we develop AI-based frameworks for the on-demand prediction of the phase stability, band gap, optical absorption spectra, photovoltaic figures of merit, defect formation energies, and impurity energy levels in two broad classes of semiconductors, namely (a) halide perovskites with the general formula ABX3 (where A is a large organic or inorganic monovalent cation, B is a divalent cation and X is a halogen anion), and (b) group IV, III-V and II-VI semiconductors in the zinc blende structure. These frameworks are powered by high-throughput density functional theory (DFT) computations, unique encoding of the atom-composition-structure information, and rigorous training of advanced neural network-based predictive and optimization models. Multi-fidelity learning is applied to bridge the gap between (high quantities of) low accuracy calculations and (lower quantities of) high-fidelity data, constituted of data from advanced DFT functionals. AI-based recommendations are synergistically coupled with targeted synthesis and characterization, leading to successful validation and discovery of novel compositions for improved performance in solar cells. Bio: Arun Mannodi Kanakkithodi is an assistant professor in Materials Engineering at Purdue university. He received his PhD in Materials Science and Engineering from the University of Connecticut in 2017 and worked as a postdoctoral researcher at the Center for Nanoscale Materials in Argonne National Laboratory from 2017 to 2020. His research involves using first principles computational modeling, machine learning, and materials informatics to drive the design of new materials for energy-relevant applications. He is a contributor to the NSF-funded nanoHUB.org and a co-organizer of the hands-on data science and machine learning workshop series: https://nanohub.org/groups/ml/handsontraining. Previously recorded talks: https://engineering.purdue.edu/Intranet/Groups/BNC/FacultySeminars Upcoming BNC Virtual Faculty Seminars and Recorded Talks, Fall 2021: Date Faculty Title 10/7/21 Michelle Thompson, Assistant Professor, Department of Earth, Atmospheric, and Planetary Sciences From Atomic Scales to Asteroid Surfaces: Understanding Airless Bodies through Coordinated Analyses 10/14/21 Xiaoping Bao, Assistant Professor, Davidson School of Chemical Engineering Engineer and Manufacture Off-the-Shelf CAR-NK Cells for Targeted Cancer Immunotherapy 10/21/21 10/28/21 Andres Arrieta, Assistant Professor, School of Mechanical Engineering 11/4/21 Tian Li, Assistant Professor of Mechanical Engineering Naturally Nanostructured Cellulose towards Energy Water Nexus 11/11/21 Caitlin Proctor, Assistant Professor of Agricultural and Biological Engineering & Environmental and Ecological Engineering Biofilms in Everyday Life 11/18/21

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FW: BNC Faculty Seminar Series: Arun Kumar Mannodi Kanakkithodi, Assistant Professor, School of Materials Engineering
by Black, Nancy Lee 27 Sep '21

27 Sep '21

Nancy Black is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://purdue-edu.zoom.us/j/98695180597 Meeting ID: 986 9518 0597 One tap mobile +16465588656,,98695180597# US (New York) 13017158592,,98695180597# US +(Washington DC) Dial by your location +1 646 558 8656 US (New York) +1 301 715 8592 US (Washington DC) +1 312 626 6799 US (Chicago) +1 669 900 6833 US (San Jose) +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) Meeting ID: 986 9518 0597 Find your local number: https://purdue-edu.zoom.us/u/abtkh4zmcl Arun Kumar Mannodi Kanakkithodi Assistant Professor, School of Materials Engineering, Purdue University September 30th, 2021 | 12:00pm Join Zoom: https://purdue-edu.zoom.us/j/98695180597 [Arun Kumar Mannodi Kanakkithodi]Title: Tuning Optoelectronic Properties of Semiconductors using High-Throughput Computations and Machine Learning Abstract: Semiconductors with desirable electronic band structure and optical absorption are sought for solar cells, electronic devices, infrared sensors, and quantum computing. Compositional manipulation via alloying at cation or anion sites, or via incorporation of point defects and impurities, can help tune the properties of semiconductors in known chemical spaces. In this work, we develop AI-based frameworks for the on-demand prediction of the phase stability, band gap, optical absorption spectra, photovoltaic figures of merit, defect formation energies, and impurity energy levels in two broad classes of semiconductors, namely (a) halide perovskites with the general formula ABX3 (where A is a large organic or inorganic monovalent cation, B is a divalent cation and X is a halogen anion), and (b) group IV, III-V and II-VI semiconductors in the zinc blende structure. These frameworks are powered by high-throughput density functional theory (DFT) computations, unique encoding of the atom-composition-structure information, and rigorous training of advanced neural network-based predictive and optimization models. Multi-fidelity learning is applied to bridge the gap between (high quantities of) low accuracy calculations and (lower quantities of) high-fidelity data, constituted of data from advanced DFT functionals. AI-based recommendations are synergistically coupled with targeted synthesis and characterization, leading to successful validation and discovery of novel compositions for improved performance in solar cells. Bio: Arun Mannodi Kanakkithodi is an assistant professor in Materials Engineering at Purdue university. He received his PhD in Materials Science and Engineering from the University of Connecticut in 2017 and worked as a postdoctoral researcher at the Center for Nanoscale Materials in Argonne National Laboratory from 2017 to 2020. His research involves using first principles computational modeling, machine learning, and materials informatics to drive the design of new materials for energy-relevant applications. He is a contributor to the NSF-funded nanoHUB.org and a co-organizer of the hands-on data science and machine learning workshop series: https://nanohub.org/groups/ml/handsontraining. Previously recorded talks: https://engineering.purdue.edu/Intranet/Groups/BNC/FacultySeminars Upcoming BNC Virtual Faculty Seminars and Recorded Talks, Fall 2021: Date Faculty Title 10/7/21 Michelle Thompson, Assistant Professor, Department of Earth, Atmospheric, and Planetary Sciences >From Atomic Scales to Asteroid Surfaces: Understanding Airless Bodies through Coordinated Analyses 10/14/21 Xiaoping Bao, Assistant Professor, Davidson School of Chemical Engineering Engineer and Manufacture Off-the-Shelf CAR-NK Cells for Targeted Cancer Immunotherapy 10/21/21 10/28/21 Andres Arrieta, Assistant Professor, School of Mechanical Engineering 11/4/21 Tian Li, Assistant Professor of Mechanical Engineering Naturally Nanostructured Cellulose towards Energy Water Nexus 11/11/21 Caitlin Proctor, Assistant Professor of Agricultural and Biological Engineering & Environmental and Ecological Engineering Biofilms in Everyday Life 11/18/21

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BNC Faculty Seminar Series: Speaker - Arun Kumar Mannodi Kanakkithodi- September 30th | 12noon | via Zoom
by Black, Nancy Lee 27 Sep '21

27 Sep '21

[cid:image001.jpg@01D7B39C.8BAB2C00] The BNC Faculty Seminar Series is designed to provide faculty a platform to present an overview of their research and the opportunity for collaborative discussion with other BNC faculty and researchers across six colleges and 15 academic units. Arun Kumar Mannodi Kanakkithodi Assistant Professor, School of Materials Engineering, Purdue University September 30th, 2021 | 12:00pm Join Zoom: https://purdue-edu.zoom.us/j/98695180597 [Arun Kumar Mannodi Kanakkithodi]Title: Tuning Optoelectronic Properties of Semiconductors using High-Throughput Computations and Machine Learning Abstract: Semiconductors with desirable electronic band structure and optical absorption are sought for solar cells, electronic devices, infrared sensors, and quantum computing. Compositional manipulation via alloying at cation or anion sites, or via incorporation of point defects and impurities, can help tune the properties of semiconductors in known chemical spaces. In this work, we develop AI-based frameworks for the on-demand prediction of the phase stability, band gap, optical absorption spectra, photovoltaic figures of merit, defect formation energies, and impurity energy levels in two broad classes of semiconductors, namely (a) halide perovskites with the general formula ABX3 (where A is a large organic or inorganic monovalent cation, B is a divalent cation and X is a halogen anion), and (b) group IV, III-V and II-VI semiconductors in the zinc blende structure. These frameworks are powered by high-throughput density functional theory (DFT) computations, unique encoding of the atom-composition-structure information, and rigorous training of advanced neural network-based predictive and optimization models. Multi-fidelity learning is applied to bridge the gap between (high quantities of) low accuracy calculations and (lower quantities of) high-fidelity data, constituted of data from advanced DFT functionals. AI-based recommendations are synergistically coupled with targeted synthesis and characterization, leading to successful validation and discovery of novel compositions for improved performance in solar cells. Bio: Arun Mannodi Kanakkithodi is an assistant professor in Materials Engineering at Purdue university. He received his PhD in Materials Science and Engineering from the University of Connecticut in 2017 and worked as a postdoctoral researcher at the Center for Nanoscale Materials in Argonne National Laboratory from 2017 to 2020. His research involves using first principles computational modeling, machine learning, and materials informatics to drive the design of new materials for energy-relevant applications. He is a contributor to the NSF-funded nanoHUB.org and a co-organizer of the hands-on data science and machine learning workshop series: https://nanohub.org/groups/ml/handsontraining. Previously recorded talks: https://engineering.purdue.edu/Intranet/Groups/BNC/FacultySeminars Upcoming BNC Virtual Faculty Seminars and Recorded Talks, Fall 2021: Date Faculty Title 10/7/21 Michelle Thompson, Assistant Professor, Department of Earth, Atmospheric, and Planetary Sciences From Atomic Scales to Asteroid Surfaces: Understanding Airless Bodies through Coordinated Analyses 10/14/21 Xiaoping Bao, Assistant Professor, Davidson School of Chemical Engineering Engineer and Manufacture Off-the-Shelf CAR-NK Cells for Targeted Cancer Immunotherapy 10/21/21 10/28/21 Andres Arrieta, Assistant Professor, School of Mechanical Engineering 11/4/21 Tian Li, Assistant Professor of Mechanical Engineering Naturally Nanostructured Cellulose towards Energy Water Nexus 11/11/21 Caitlin Proctor, Assistant Professor of Agricultural and Biological Engineering & Environmental and Ecological Engineering Biofilms in Everyday Life 11/18/21

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FW: Research Instrumentation Program
by Black, Nancy Lee 27 Sep '21

27 Sep '21

[https://mailimages.purdue.edu/spacer.gif]<https://maillinks.purdue.edu/t/41971912/1558917721/80194456/0/124711/?72f79…> View as a Web page<https://maillinks.purdue.edu/t/41971912/1558917721/88214322/0/124711/?b44ed…> [https://mailimages.purdue.edu/spacer.gif] [https://mailimages.purdue.edu/purdue-evprp_ppri/697cbd5007b20d13a08e537042c…] [https://mailimages.purdue.edu/spacer.gif] From: Theresa Mayer, Executive Vice President for Research and Partnerships and Jay Akridge, Provost and Executive Vice President for Academic Affairs and Diversity Subject: Research Instrumentation Program Date: September 23, 2021 We are pleased to announce that the Research Instrumentation Program is now open for the 2021-22 academic year. The program is jointly sponsored by the Offices of the Executive Vice President for Research and Partnerships and the Provost and Executive Vice President for Academic Affairs and Diversity. The 2021-22 Purdue Research Instrumentation Program will provide up to $1.5 million in funding for state-of-the-art equipment and infrastructure that is needed to conduct world-class research at a top-tier AAU research university. The instruments are also expected to contribute substantially to the research training of the graduate and undergraduate students who will become the next generation of talent that advance the frontiers of discovery and creative expression. A proposal to this program may request up to $100,000 in one-time funding for the acquisition and installation of a research instrument in a Purdue research laboratory. The instrument may have total costs of up to $200,000 including matching. Applications are due October 26th. Guidelines for the program and the application template are available from links on the Research Instrumentation Program<https://maillinks.purdue.edu/t/41971912/1558917721/88220713/0/124711/?x=de5…> webpage. Any questions should be directed to: EVPRP-instrument(a)purdue.edu<mailto:EVPRP-instrument@purdue.edu> [https://mailimages.purdue.edu/spacer.gif] [https://mailimages.purdue.edu/spacer.gif] [protect purdue]<https://maillinks.purdue.edu/t/41971912/1558917721/84015110/0/124711/?x=f2b…> [https://mailimages.purdue.edu/spacer.gif] You are receiving this email as a member of the Purdue University research community. Office of the Executive Vice President for Research and Partnerships: www.purdue.edu/research/<https://maillinks.purdue.edu/t/41971912/1558917721/71306447/0/124711/?x=8ea…> Send comments or questions to purdueresearch(a)purdue.edu<mailto:purdueresearch@purdue.edu>. Purdue University is an equal access, equal opportunity university. Produced and published by the Executive Vice President for Research and Partnerships office. Copyright © 2021, Purdue University<https://maillinks.purdue.edu/t/41971912/1558917721/63490351/0/124711/?x=d54…>, All rights reserved. Shop<https://maillinks.purdue.edu/t/41971912/1558917721/78175239/0/124711/?x=dc2…> | Visit<https://maillinks.purdue.edu/t/41971912/1558917721/78217797/0/124711/?x=af7…> | Give<https://maillinks.purdue.edu/t/41971912/1558917721/78217799/0/124711/?x=9e0…> Forward to a Friend<https://maillinks.purdue.edu/t/41971912/1558917721/88214296/0/124711/?abb9e…> | Unsubscribe from this list<https://maillinks.purdue.edu/t/41971912/1558917721/81485602/0/124711/?c1e99…> | Unsubscribe from all lists<https://maillinks.purdue.edu/t/41971912/1558917721/82838307/0/124711/?e4eaa…> | Privacy Policy<https://maillinks.purdue.edu/t/41971912/1558917721/66794847/0/124711/?x=e7d…> This email was sent to: chen658(a)purdue.edu<mailto:chen658@purdue.edu> This email was sent by: Purdue University Research Operations at Purdue 610 Purdue Mall West Lafayette, IN 47907 [https://mailimages.purdue.edu/purdueuniversity/PU_SIG_Logo_RGB__PU-H-Full-R…]<https://maillinks.purdue.edu/t/41971912/1558917721/71786932/0/124711/?x=d3d…>

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Webinar by Prof. Troy Olsson (UPenn) on "Aluminum Scandium Nitride Microdevices for Next Generation Nonvolatile Memory and Microelectromechanical Systems"
by Gupta, Sumeet Kumar 24 Sep '21

24 Sep '21

Hello It is my pleasure to announce a webinar by Prof. Troy Olsson (University of Pennsylvania), in the ECE webinar series. The details are below and attached. Hope to see you in the webinar. Many thanks to Prof. Dimitrios Peroulis for his suggestion of inviting Prof. Olsson. Thanks Sumeet Gupta [cid:e5a5bc93-ee27-41eb-a05d-812ceffca3c8]

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Reminder: BNC Faculty Seminar Series: Speaker - Ryan Wagner - September 23rd | 12noon | via Zoom
by Black, Nancy Lee 23 Sep '21

23 Sep '21

Sorry for my sending a second reminder. [cid:image001.jpg@01D7B05B.E6748F30] The BNC Faculty Seminar Series is designed to provide faculty a platform to present an overview of their research and the opportunity for collaborative discussion with other BNC faculty and researchers across six colleges and 15 academic units. Ryan Wagner Research Assistant Professor, School of Mechanical Engineering September 23rd, 2021 | 12:00pm Join Zoom: https://purdue-edu.zoom.us/j/98695180597 [cid:image004.jpg@01D7B05F.BA28D9A0]Title: Vibrations and mechanics applied to Multiphysics problems in MEMS, Manufacturing, and Microscopy Abstract: At the macroscale, microscale, and nanoscale vibrations and mechanics can be exploited for metrology in process monitoring, system design, and diagnostics. In this talk, I will discuss three vibration and mechanics based metrology problems across these three length scales. At the macro-scale, roll-to-roll systems enable scalable manufacturing of flexible electronic devices. The magnitude and distribution of web tension can have a significant effect on device yield and performance. To address this, we have developed a vibration-based metrology system for measuring the tension distribution within the web substrate. At the microscale, microcantilever-based radio frequency capacitance switches are an important MEMS device. Stiction failure, where the cantilever becomes stuck to the dielectric surface is an important failure mode. We used the Atomic Force Microscope (AFM) as a surrogate system for studying the dynamic detachment of a microcantilever from a surface. This is a possible recovery mechanism for fixing failed devices. At the nanoscale, the detailed modeling of viscoelastic contact mechanics is important for simulating the interactions between an AFM cantilever tip and soft, viscoelastic surfaces. Commonly employed models for this are often ad-hoc in nature leading to inconsistent predictions of surface behavior. We have developed a computationally improved implementation of Attard’s model, a rigorous first principles contact mechanics model that enables accurate prediction of surface dynamics for soft, viscoelastic materials. We have deployed this model in our online AFM simulation tool VEDA, which is found on nanoHUB.org. Bio: Ryan Wagner is a Research Assistant Professor in the School of Mechanical engineering at Purdue University. He received his B.S. and Ph.D. both in Mechanical Engineering from Purdue in 2008 and 2014 respectively. His graduate research topic was the application of AFM to study the mechanics of cellulose-based nanomaterials. Ryan was awarded a National Research Council postdoctoral fellowship at the National Institute of Standards and Technology where he worked on AFM metrology and cavity optomechanics. After this postdoc, Ryan was employed as a Research and Development Scientist at Asylum Research, an AFM instrument manufacturing company. Ryan’s research interests include metrology, microscopy, interferometry, spectrometry, vibrations, and dynamics. Previously recorded talks: https://engineering.purdue.edu/Intranet/Groups/BNC/FacultySeminars Upcoming BNC Virtual Faculty Seminars and Recorded Talks, Fall 2021: Date Faculty Title 9/23/21 Ryan Wagner, Research Assistant Professor, School of Mechanical Engineering Vibrations and dynamics applied to Multiphysics problems in MEMS, Manufacturing, and Microscopy 9/30/21 Arun Kumar Mannodi Kanakkithodi, Assistant Professor, School of Materials Engineering Tuning Optoelectronic Properties of Semiconductors using High-Throughput Computations and Machine Learning 10/7/21 Michelle Thompson, Assistant Professor, Department of Earth, Atmospheric, and Planetary Sciences From Atomic Scales to Asteroid Surfaces: Understanding Airless Bodies through Coordinated Analyses 10/14/21 Xiaoping Bao, Assistant Professor, Davidson School of Chemical Engineering Engineer and Manufacture Off-the-Shelf CAR-NK Cells for Targeted Cancer Immunotherapy 10/21/21 10/28/21 Andres Arrieta, Assistant Professor, School of Mechanical Engineering 11/4/21 Tian Li, Assistant Professor of Mechanical Engineering Naturally Nanostructured Cellulose towards Energy Water Nexus 11/11/21 Caitlin Proctor, Assistant Professor of Agricultural and Biological Engineering & Environmental and Ecological Engineering Biofilms in Everyday Life 11/18/21

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Reminder: BNC Faculty Seminar Series: Ryan Wagner-Thursday Sept 23rd 12-1-zoom
by Black, Nancy Lee 23 Sep '21

23 Sep '21

Friendly reminder of Birck Nanotechnology Center Faculty Seminar Series with Ryan Wagner, Research Assistant Professor, School of Materials Engineering Title: Vibrations and mechanics applied to Multiphysics problems in MEMS, Manufacturing, and Microscopy Thursday, September 23, 2021 12:00pm - 1:00pm, Zoom Thanks, Nancy Black Administrative Assistant | Discovery Park Birck Nanotechnology Center | 1205 West State St | West Lafayette, IN 47907 blackn(a)purdue.edu | purdue.edu/discoverypark/birck -----Original Message----- From: Black, Nancy Lee Sent: Monday, September 20, 2021 3:53 PM To: 'Bnc-faculty-all-list(a)ecn.purdue.edu' <Bnc-faculty-all-list(a)ecn.purdue.edu> Cc: Black, Nancy Lee <blackn(a)purdue.edu> Subject: BNC Faculty Seminar Series: Ryan Wagner-Thursday Sept 23rd 12-1 Nancy Black is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://purdue-edu.zoom.us/j/98695180597 Meeting ID: 986 9518 0597 One tap mobile +16465588656,,98695180597# US (New York) 13017158592,,98695180597# US +(Washington DC) Dial by your location +1 646 558 8656 US (New York) +1 301 715 8592 US (Washington DC) +1 312 626 6799 US (Chicago) +1 669 900 6833 US (San Jose) +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) Meeting ID: 986 9518 0597 Find your local number: https://purdue-edu.zoom.us/u/abtkh4zmcl

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Canceled: Webinar by Prof. Ashutosh Nayyar (USC) on "Thompson Sampling for Markov Decision Processes and Related Problems"
by Gupta, Sumeet Kumar 22 Sep '21

22 Sep '21

Hello all We will need to postpone tomorrow's webinar as per the request from Prof. Nayyar due to unforeseen health-related circumstances. I will reschedule Prof. Nayyar's talk and resend an updated invitation. Thank you Sumeet Gupta

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BNC Faculty Seminar Series: Ryan Wagner-Thursday Sept 23rd 12-1
by Black, Nancy Lee 20 Sep '21

20 Sep '21

Nancy Black is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://purdue-edu.zoom.us/j/98695180597 Meeting ID: 986 9518 0597 One tap mobile +16465588656,,98695180597# US (New York) 13017158592,,98695180597# US +(Washington DC) Dial by your location +1 646 558 8656 US (New York) +1 301 715 8592 US (Washington DC) +1 312 626 6799 US (Chicago) +1 669 900 6833 US (San Jose) +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) Meeting ID: 986 9518 0597 Find your local number: https://purdue-edu.zoom.us/u/abtkh4zmcl

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Webinar by Prof. Ashutosh Nayyar (USC) on "Thompson Sampling for Markov Decision Processes and Related Problems"
by Gupta, Sumeet Kumar 17 Sep '21

17 Sep '21

Hello It is my pleasure to host Prof. Ashutosh Nayyar (University of Southern California) for his talk in the ECE Webinar Series. The details are below and attached. Hope to see you in the webinar. Thank you. Sumeet Gupta [cid:d626b334-7432-41e4-95b9-157a6ff02589]

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