Responding to COVID-19: Research Operations at Birck

https://www.purdue.edu/discoverypark/birck/for-birck-users/covid/index.php

Seminars /Workshops / Events

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 12th 2021,  1:30 PM - 2:30 PM EST

Title: An Introduction to Machine Learning for Materials Science: A Basic Workflow for Predicting Materials Properties
Speaker: Benjamin Afflerbach, University of Wisconsin-Madison

Register here (limited seats): https://nanohub.org/groups/ml/handsontraining
This workshop will introduce core concepts of machine learning through the lens of a basic workflow to predict material bandgaps from material compositions. As we progress through this workflow, we’ll highlight key steps, challenges that can come up with materials data, and potential solutions to these challenges. The core workflow we’ll introduce includes: Data Cleaning, Feature Generation, Feature Engineering, Establishing Model Assessment, Training a Default Model, Hyperparameter Optimization, and Making Predictions. By the end of the workshop I hope that you’ll have a better understanding of these core concepts, and how they can all fit together. If you want to preview the materials ahead of time you can find them on nanoHUB here: https://nanohub.org/tools/intromllab.

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 and Birck News

Birck Nanotechnology Center Advanced Capabilities

Keithley 4200A Ultrafast Pulse Unit (Probe 2)

Features:

Ø Ultra fast I-V module with remote PreAmp ( 4225-PMU & 4225-RPM)

Ø Pulse widths as low as low as 60 ns

Ø Low noise (15uA) and wide measurement range  (10-40V)

Other Capabilities:

Ø Also measure low noise CV-IV measurements with Cascade

Location: BRK 2100-J

Contact: Nithin Raghunathan (nithin@purdue.edu)

Please visit the Birck Wiki to learn about the wide array of fabrication and characterization equipment at the facility

iLabs Outage Summary

Dear Birck Research Community,

As we mentioned on Friday of last week, iLabs had a scheduled down-time starting Friday evening at 9:00 pm, and it was forecasted to possibly extend until Sunday evening at 9:00 pm, a full 24 hour outage.  In order to continue using equipment at Birck we opened all the interlocks and encouraged users to pre-reserve equipment for the weekend which would allow us to process manual billings per the reservations since iLabs was totally offline.  It turns out that the iLabs outage was much shorter than anticipated so we were back online with iLabs and interlocks at approximately 11:00 am on Saturday.  Thanks for your patience and we thank the iLabs organization for dealing with their planned outage in the most expedient way.

Ron

Follow us on Facebook and Twitter

***If you have any news items (published papers, research news, awards, honors) please send to 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 | m: 765-491-3064 | jjturner@purdue.edu