[cid:image006.jpg@01D685C3.FA345960] Responding to COVID-19: Research Operations at Birck https://www.purdue.edu/discoverypark/birck/for-birck-users/covid/index.php Seminars /Workshops / Events The QSC's inaugural Quantum Summer School starts TODAY (5/17 - 5/20). This is targeted to students/postdocs but open to anyone. The schedule is here: Quantum Summer School Info<https://qscience.org/qscs-first-quantum-summer-school/> and it will be live-streamed on the PQSEI YouTube channel (http://www.youtube.com/quantumcoffeehouse) nanoHUB is excited to announce the next two workshops in the Spring 2021 session of our Hands-on Data Science and Machine Learning Training Series. Series information. Our series is aimed at active researchers and educators and designed to introduce practical skills with online, hands-on activities participants will be able to incorporate in their work. Hands-on activities 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 research or education. Registration links and material for prior workshops can be found at the workshop webpage: https://nanohub.org/groups/ml/handsontraining Register soon as seats are limited. Date: May 19th 2021, 1:30 PM - 2:30 PM EST Title: Automating Development and Evaluation of Machine Learning Models for Materials Property Prediction Speaker: Ryan Jacobs, University of Wisconsin-Madison Register here (limited seats): https://nanohub.org/groups/ml/handsontraining This tutorial contains an introduction to the use of the Materials Simulation Toolkit for Machine Learning (MAST-ML), a python package designed to broaden and accelerate the use of machine learning and data science methods for materials property prediction. Through hands-on activities, we will use MAST-ML to (1) import materials datasets from online databases and clean and examine our input data, (2) conduct feature engineering analysis, including generation, preprocessing, and selection of features, (3) construct, evaluate and compare the performance of different model types and data splitting techniques, and (4) conduct a preliminary assessment of model error analysis and uncertainty quantification (UQ). BNC Faculty Seminar Series (will resume fall semester, 2021) Previous Talks: https://engineering.purdue.edu/Intranet/Groups/BNC/FacultySeminars Birck Events<https://www.purdue.edu/discoverypark/birck/events/index.php> and Birck News<https://www.purdue.edu/discoverypark/birck/news/index.php> Birck Nanotechnology Center Advanced Capabilities [cid:image002.png@01D74B1C.60B3E9D0]RCA Cleaning Process Hood & Spin Rinse Dryer<https://wiki.itap.purdue.edu/pages/viewpage.action?spaceKey=BNCWiki&title=RCA+Cleaning+Hood> A dedicated area and equipment for performing SC1, SC2 and HF Dip baths SC1 - Organic and Particle Clean * UPW, NH4OH, and H2O2 at 80C. * Removes organic residues & particles SC2 - Ionic Clean * UPW, HCL, H2O2 at 80C. * Removes metallic contaminants and leaves a thin passivizing layer on surface. HF - Oxide Strip * UPW and HF at 25C. * Removes thin oxide layers and some ionic contaminants. [cid:image005.jpg@01D74B1C.60B3E9D0] Spin Rinse Dryer * Automatically rinses and dries up to 14 4" wafers at a time. Location: Cleanroom R Bay Contact: Rich Hosler (hosler0@purdue.edu<mailto:hosler0@purdue.edu>) Please visit the Birck Wiki<https://wiki.itap.purdue.edu/display/BNCWiki/> to learn about the wide array of fabrication and characterization equipment at the facility Follow us on Facebook and Twitter [Facebook icon]<https://www.facebook.com/nano.purdue.edu/> [Twitter icon] <https://twitter.com/BNCPurdue> ***If you have any news items (published papers, research news, awards, honors) please send to jjturner@purdue.edu<mailto:jjturner@purdue.edu> so they may be included on Birck's website, Facebook and Twitter pages*** Jaime Turner Lead Administrative Assistant to the Director | Birck Nanotechnology Center BRK | 1205 W State Street | West Lafayette, IN 47907 o: 765-494-3509<tel:7654943509> | m: 765-491-3064<tel:7654913064> | jjturner@purdue.edu<mailto:jjturner@purdue.edu> [83324AA6]<https://www.purdue.edu/>
