[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 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 * Live Tutorial Session with live Q&A Chat opportunities (Sunday, June 27, 2021) * Live Plenary, Awards, and Student Finalists with live Q&A Chat opportunities (Monday, June 28, 2021) * Live Parallel Technical Sessions with live Q&A Chat opportunities (Tuesday-Wednesday, June 29-30, 2021) * On Demand Oral Sessions (Starting Monday, June 28, 2021) * On Demand Poster Sessions with a Mix of Pre-recorded (Video or Audio) Talks and/or PDF files * Live and On Demand Sessions available on Mobile App/Online Scheduler through July 31, 2021 and then to AVS members in the AVS Technical Library Find more information and Register HERE<https://avs.swoogo.com/ald2021> 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.jpg@01D750B4.5D656360]Kinzel Roll-to-Roll Screen Printer Features: * Print patterns of conductive, dielectric, and graphic inks on flexible substrates (polymeric films or paper). * Automatic, roll-to-roll operation for large volume flexible electronics fabrication. * Large format up to 300 mm x 450 mm printed per impression, 200 mm resolution. Other Capabilities: * Ink curing via in-line UV lamp or thermal convection dryer. * Multi-layer printing via multiple passes with registration. Location: Indiana Manufacturing Institute (1105 Challenger Avenue, West Lafayette, IN) Contact: Nick Glassmaker (nglassma@purdue.edu<mailto:nglassma@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 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: * Provide SEM analysis services - imaging and EDX chemical analysis - to BNC and industrial users using both the Hitachi S4800 and TFS Apreo FE-SEM * Manage the reception of samples and analysis instructions from Birck users * Training new users in both the SEMs Hitachi S-4800 and TFS Apreo * Align the microscopes biweekly and make sure the systems are working properly. * Provide assistance to users remotely in case an issue arises. * Manage the training and services request for both SEMs in Ilab and provide metrics every week. * Training new users in SPI sputter coater, Nanomill ion polisher, and mechanical polisher. * Have great disposition, excellent communication skills, and ability to solve problems when providing services or trainings To find out more info and apply please contact Dr. Rosa Diaz, rdiazri@purdue.edu<mailto: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 Follow us on Facebook and Twitter [Facebook icon]<https://www.facebook.com/nano.purdue.edu/> [Twitter icon] <https://twitter.com/BNCPurdue> 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/>
