November 2020 - Msepostdoc-list

Continuing the Pursuit: Community Conversations about Pursuing Racial Justice Together series | Thurs Nov 12th
by MSE Graduate 05 Nov '20

05 Nov '20

--------------------------------------------------------------------------------------- Dear Engineering Graduate Students, Postdocs, Faculty, and Staff- Please consider being involved in collaborative Community Conversations in partnership with our colleagues in the College of Agriculture and the College of HHS. These conversations are being co-sponsored by the College of Engineering and I would encourage you to register and join. Conversation is just the first step. Continuing the Pursuit: Community Conversation For Who? Students (UG and Grad), Staff, Postdocs, Faculty, and Community. When? Thursday Nov 12th 10 a.m. to 12pm EDT OR 3 to 5 p.m. EDT What? Facilitated discussions will be from the Pursuing Racial Justice Together series; however you do not have to have seen all of the talks to be involved in the conversation. Register here: https://purdue.ca1.qualtrics.com/jfe/form/SV_8phlcgHGzAQtEfr More information is below. [Purdue logo] [https://mailimages.purdue.edu/purdue-agcomm/racial_justice.jpg] Through its Pursuing Racial Justice Together speaker series<https://maillinks.purdue.edu/t/40233714/1487158300/84580445/0/122733/?x=d65…>, Purdue University is tackling complicated, heavy and uncomfortable — but necessary — questions about racial justice and identifying the work that needs to come with it. These leading thinkers, authors, scholars and creators are giving the Purdue community a great deal of perspectives, concerns and opportunities to consider. It’s why we wanted to create an outlet through which to continue these critical conversations. The Colleges of Agriculture, Engineering, and Health & Human Sciences have partnered to present Continuing the Pursuit: Community Conversations about the Pursuing Racial Justice Together Series. These conversations will provide opportunities to join with your peers at Purdue and: * Process what you’ve learned from the Pursuing Racial Justice Together speaker series * Discuss current events in the news and campus life * Contemplate next steps for yourself and your respective colleges / departments Continuing the Pursuit sessions have been set for October, November and December — with morning and afternoon options available to accommodate scheduling. November information is below. Please click the date to register for your preferred time. THURSDAY, NOVEMBER 12<https://purdue.ca1.qualtrics.com/jfe/form/SV_8phlcgHGzAQtEfr> 10 a.m. to noon EDT 3 to 5 p.m. EDT Discussion topics from the Pursuing Racial Justice Together series * Eduardo Bonilla-Silva * The Promise of a Just American: A Panel Discussion * Democracy in Black: A Panel Discussion Dates and details on December conversations will be emailed at a later time. Spaces for each conversation are limited and will be filled on a first-come, first-serve basis; please register only for events you’ll be able to attend. If you register and become unable to attend, please email Ayanna Bledsoe<mailto:%3caabledso@purdue.edu%3e> as soon as possible to release your space. We look forward to Continuing the Pursuit of racial justice with you at Purdue University! REGISTER HERE!<https://purdue.ca1.qualtrics.com/jfe/form/SV_8phlcgHGzAQtEfr>

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Nov. 11, 2020 Hands-on workshop of machine learning
by Stacey, Lisa A 03 Nov '20

03 Nov '20

Forwarding on behalf of MSE Prof. Ale Strachan: Thank you, Lisa Stacey Administrative Assistant to the Department Head School of Materials Engineering Neil Armstrong Hall of Engineering o: 765-494-4095 f: 765-494-1204 [3749DD84]<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.purdue.edu_-3Futm-…> ________________________________ Subject: nanoHUB free hands-on workshop on machine learning: Dr. Arun Mannodi-Kanakkithodi, Argonne. Dear Colleagues, nanoHUB is excited to offer another session of our ongoing Hands-on Data Science and Machine Learning Training Series. The series is designed to enhance your skill set with practical tools you can use in your research or teaching. Title: Machine Learning Framework for Impurity Level Prediction in Semiconductors Date/Time: November 11, 2020 / 1 PM – 2 PM EST By: Arun Mannodi-Kanakkithodi, Postdoctoral researcher at Argonne National Laboratory and Incoming Assistant Professor of Materials Engineering at Purdue University Register here (limited seats): https://purdue.webex.com/purdue/onstage/g.php?MTID=e088a6ccfa042d4ac13bdb44… Abstract: In this work, we perform screening of functional atomic impurities in Cd-chalcogenide semiconductors using high-throughput computations and machine learning. High-performance computing resources located at Argonne National Lab (Carbon at CNM and LCRC) and Berkeley Lab (NERSC) were utilized to generate large databases of impurity properties from first principles-based density functional theory (DFT) computations. This dataset was combined with material descriptors—ranging from coordination environments to tabulated elemental properties to cheaper DFT data—to train state-of-the-art regression models. LASSO, random forest, and kernel ridge regression techniques were used and the predictive models were optimized with respect to the type and quantity of training data, optimal hyperparameter sets, and cross-validation errors. The best models thus achieved were deployed to make predictions for the combinatorial chemical space of all possible impurity atoms in Cd-chalogenide compounds, following which screening was performed on the basis of their relative energetics, leading to a shortlist of impurities for every compound which can affect a desirable or disastrous change in the optical and electronic properties of the semiconductor. The data and models developed in this work have major consequences for semiconductor applications ranging from solar cells to infrared sensors to quantum information sciences. Publication: https://www.nature.com/articles/s41524-020-0296-7. Bio: Arun Mannodi-Kanakkithodi is a computational materials scientist working as a postdoctoral researcher at the Center for Nanoscale Materials at Argonne. His research interests include AI-driven design of novel materials for energy applications, optimizing opto-electronic properties of novel semiconductor compositions, generating and mining computational materials databases, materials informatics, and data-driven materials discovery. Arun will begin a new position as assistant professor in Materials Engineering at Purdue University in December 2020. Additional information. Our series is aimed at active researchers and educators and little prior coding experience is required. In addition, all exercises will use nanoHUB cloud computing resources, no need to download or install any software. All you need is an internet connection and a browser. After the training sessions, you will be able to continue using nanoHUB for your research or class. You can find additional information and sign up links at https://nanohub.org/groups/ml/handsontraining. Here you can also find recorded material of our previous workshops and refresh your knowledge of Jupyter notebooks, querying databases, and training basic machine learning models such as neural networks for classification and regression. We hope that you can attend this workshop and walk away with enough information and practical skills to kickstart your foray into deep learning methods for your research or classroom use. Best regards, Prof. Ale Strachan, Materials Engineering, Purdue University Deputy Director, nanoHUB. http://nanohub.org/ -- Alejandro Strachan Professor of Materials Engineering, Purdue University Network for Computational Nanotechnology - nanohub.org<http://nanohub.org> Center for Predictive Materials and Devices (c-PRIMED)

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FW: Just over a week left!
by Jennifer Louise Fifer 03 Nov '20

03 Nov '20

From: unitedway(a)purdue.edu <unitedway(a)purdue.edu> Sent: Tuesday, November 3, 2020 6:22 AM To: Jennifer Louise Fifer <fiferj(a)purdue.edu> Subject: Just over a week left! [UW Greater Lafayette logo.jpg][Purdue 2020 logo] Dear Purdue Colleagues, We are sure that you already know that being a Boilermaker means being a leader in research and innovation. It means serving your community to create a better world. It means working together to build a better path for future generations. At United Way, we are so proud to be a part of a larger community that is working with us and encourage you to continue helping us fight the issues that plague our community. United Way of Greater Lafayette is fighting to empower every person to find their individual path to success. We know that when we Live United our entire community wins. You can play a part of that big win. We are proud to announce that so far our Purdue Family has raised a total of $471,939.43. That's a little over 64% of our $732,485 goal. This year the need is greater than ever! Any new or increased gift of $100 or more will be MATCHED $1 to $1 thanks to a generous grant from Lilly Endowment Inc. With just over a week to go, we need your help to make it to the finish line! We are fighting to make it possible for the United Way of Greater Lafayette to continue fighting for the health, education and financial stability of every person in our community. Will you join us today? With ePledge, it's easier than ever to donate; simply follow these steps: * Use your Purdue career account ID and password to login into ePledge * Once logged in, you will see a Welcome message from the Purdue United Way * Follow the steps to make your pledge by payroll deduction, credit card, check, bill me, stock/securities or select not to participate this year Please go to: www.purdue.edu/unitedway<http://www.purdue.edu/unitedway> to participate. Dr. Gary Bertoline Dean, Purdue Polytechnic Institute 2020 Purdue United Way Campaign Chair For more information, please contact unitedway(a)purdue.edu<mailto:unitedway@purdue.edu>

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