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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 first two workshops in the Summer 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 participnts

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. 

Title: A Hands-on Introduction to Physics-Informed Neural Networks
Date: May 26th 2021,  1:30 PM - 2:30 PM EST
Speaker: Ilias Bilionis, Purdue University

Register here (limited seats): https://nanohub.org/groups/ml/handsontraining 

Abstract: Can you make a neural network satisfy a physical law? There are two main types of these laws: symmetries and ordinary/partial differential equations. I will focus on differential equations in this short presentation. The simplest way to bake information about a differential equation with neural networks is to create a regularization term for the loss function used in training. I will explain the mathematics of this idea. I will also talk about applying physics-informed neural networks to a plethora of applications spanning the range from solving differential equations for all possible parameters in one sweep (e.g., solve for all boundary conditions) to calibrating differential equations using data to design optimization. Then, we will work on a hands-on activity that shows you to implement the ideas in PyTorch. I am assuming some familiarity with how conventional neural networks are trained (stochastic gradient descent). Also, you need to know the basics of PyTorch to follow along. Going over this tutorial should be sufficient: https://pytorch.org/tutorials/beginner/pytorch_with_examples.html.

 

Title: Batch Reification Fusion Optimization (BAREFOOT) Framework
Date:  June 2nd 2021,  1:30 PM - 2:30 PM EST
Speaker: Richard Couperthwaite, Texas A&M University

Register here (limited seats): https://nanohub.org/groups/ml/handsontraining 

Abstract: This tutorial will present the fundamentals of multi-fidelity fusion as well as Sequential and Batch Bayesian Optimization as possible optimization approaches that can be integrated with high accuracy computational models or experimental procedures to speed up the optimization or design of materials. The tutorial will also provide an overview of the BAREFOOT framework that combines these two approaches together to further improve the rate of the optimization. All these approaches are compared using the optimization of the workability of a dual-phase steel microstructure.

 

AVS 21st International Conference on Atomic Layer Deposition (ALD 2021) featuring the 8th International Atomic Layer Etching Workshop (ALE 2021) 

June 27 – 30, 2021 | Virtual Meeting

Find more information and Register HERE

 

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

 

Kinzel Roll-to-Roll Screen Printer

 

Features:

Other Capabilities:

 

Location: Indiana Manufacturing Institute (1105 Challenger Avenue, West Lafayette, IN)

Contact: Nick Glassmaker (nglassma@purdue.edu)           

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

                      

 

  

 
 


RA Position at Birck

SEM training and assistance:

The Birck Nanotechnology Center is looking for a Grad student with experience in scanning electron microscopy to assist 20 hrs a week with the SEMs at BNC - Hitachi S4800 FESEM and TFS Apreo FESEM  in the clean room.

The responsibilities will be:

To find out more info and apply please contact Dr. Rosa Diaz, rdiazri@purdue.edu            

 


Birck Equipment Training

 

Training and equipment repair are the two top priorities for Birck staff members.  Training queues have been increasing lately due to new users coming to Birck and current researchers sometimes expanding their project scope.  We’re anticipating an influx of additional new users over the Summer and into the Fall semester so we are considering a number of actions to help us become more efficient in providing user trainings.  Among these ideas are…..

  1. Increasing the number of users being trained from 1 to 2, as appropriate.  This is being considered on a case-by-case basis taking into account the requirement to maintain a COVID-safe training experience.   
  2. Supplementing our SOPs with video overviews as we can get them developed.
  3. Providing more pre-work online prior to the in-person training.
  4. Coordinating training timing to better match when the users need to first use the tools.

 

Thanks for your support of our efforts, and we would be happy to hear other ideas you have to make our training process more efficient.

 

Ron Reger

 


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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

 

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