nanoHUB.org

05/27/2026

A huge thank you to everyone who helped make our series such a success as part of the Hands-On Data Science and Machine Learning Training Series on nanoHUB!

We’re incredibly grateful to our presenters and organizers for sharing their expertise, time, and passion with the community:

Alejandro Strachan | Juan Carlos Verduzco | Rushik Desai | Sheryl Sanchez | Habibur Rahman | Jagriti Sahoo | Dylan M. Anstine

We'd also like to thank our amazing nanoHUB community for joining us throughout the month. Your curiosity, engagement, and enthusiasm are what make these workshops so impactful. We hope you discovered new tools, techniques, and ideas you can apply in your own research and learning journeys.

Missed a session or want to revisit your favorites? Stay tuned! Recordings and tutorials from the series will be published on nanoHUB in the coming weeks!

In the meantime, you can explore the Hands-On Data Science and Machine Learning Training Series at the link below⬇️
https://nanohub.org/groups/ml/handsontraining

05/26/2026

It's not too late to register for tomorrow's online workshop, Combining AIMNet2 and PyTorch for High-Throughput Molecular Modeling Workflow.

Join us at 12:00 p.m. ET as Dr. Dylan Anstine of Michigan State University gives an overview of the second generation of the atoms-in-molecules neural network, AIMNet2, with a focus on the key design principles that enable its accuracy, transferability, and computational efficiency.

Learn more and register ⬇️
https://purdue.webex.com/weblink/register/rcc70f1b3a132794d1a48a89abcd7de82

05/22/2026

We’re leaving the SCALE (Scalable Asymmetric Lifecycle Engagement) Symposium and Annual Meeting inspired by the incredible conversations and collaborations that took place throughout the week. As the platform powering SCALE, nanoHUB was proud to engage with leaders across academia, industry, and government to help advance the future of U.S. microelectronics workforce development and innovation.

Throughout the event, our team had the opportunity to attend a variety of technical and workforce development tracks, connect with P*s, industry partners, and key stakeholders, and contribute to important discussions shaping the SCALE ecosystem. We were also honored to host multiple panel sessions during the meeting.

One of our panels explored the evolving landscape of the AI-enabled defense microelectronics workforce, focusing on emerging challenges, opportunities, and the critical skills needed for future success. The discussion highlighted best practices from related fields and emphasized the importance of collaboration between academia and industry to strengthen and develop the next generation workforce.

We also participated in a cross-vertical collaboration panel centered on concrete AI use cases across technology sectors. The discussion showcased high-impact AI applications, ongoing projects, and the student skill sets needed to support the rapidly evolving microelectronics and AI ecosystem.

Thank you to SCALE for bringing together partners from across academia, industry, and government to strengthen collaborations and drive continued progress in the microelectronics community.

05/19/2026

Join us tomorrow for, "Advancing Atomistic Simulations with Foundation Models and Large-Scale Datasets."

In this hands-on workshop, Jagriti Sahoo, a postdoctoral researcher with Meta’s FAIR Chemistry team will introduce Meta FAIR’s UMA models, which use large-scale machine learning to improve atomistic simulations for chemistry and materials science.

Learn more and register ⬇️
https://purdue.webex.com/weblink/register/r0c9886cc369bc99ce7236a1f3e2bcd32

05/18/2026

NEW on nanoHUB: If you missed the first workshop in our Spring 2026 Hands-on Data Science and Machine Learning Training Series, you can now access it on nanoHUB!

The resource introduces structured Gaussian Processes (sGP)- as a physics‑informed Bayesian optimization framework for rapid discovery of functional perovskite compositions.

🔗https://nanohub.org/resources/44470

05/15/2026

We're excited to announce the next workshop in ! Join us on May 20 for Advancing Atomistic Simulations with Foundation Models and Large-Scale Datasets.

In this workshop, Jagriti Sahoo of Meta’s FAIR Chemistry team will introduce Meta FAIR’s UMA models, which use large-scale machine learning to improve atomistic simulations for chemistry and materials science.

Learn more and register ⬇️
https://purdue.webex.com/weblink/register/r0c9886cc369bc99ce7236a1f3e2bcd32

05/13/2026

Join us TODAY for, "DefectDB: An Open Source Infrastructure for Defect Thermodynamics in II–VI Semiconductors."

This free, hands-on workshop will introduce DefectDB, a data-driven platform that combines first-principles calculations, machine learning, and interactive tools to accelerate defect modeling and materials discovery in II–VI semiconductor systems used in photovoltaic technologies.

Don’t miss your chance to join us in just a few hours at 12:00 p.m. EDT.

Register below ⬇️
https://purdue.webex.com/weblink/register/rf484b6e570050d9abe4ce7d05414741d

05/11/2026

Curious what Chipshub is all about?

Operated at Purdue University and powered by nanoHUB, Chipshub is an online platform for semiconductor research, simulation, and education. It provides free, cloud-based access to industry-grade EDA tools, simulation software, and educational resources designed to help train the next generation of engineers and bridge the gap between academia and industry.

Head over to chipshub.org and start exploring!

05/08/2026

Next up in we have, "DefectDB: An Open Source Infrastructure for Defect Thermodynamics in II–VI Semiconductors."

This hands-on workshop will introduce DefectDB, a data-driven platform that combines first-principles calculations, machine learning, and interactive tools to accelerate defect modeling and materials discovery in II–VI semiconductor systems used in photovoltaic technologies.

Join us next Wednesday, May 13 at 12:00 p.m. EDT

Learn more and register: https://purdue.webex.com/weblink/register/rf484b6e570050d9abe4ce7d05414741d

05/06/2026

🚨 Happening now! Join us on Webex for Accelerating Bandgap Discovery in Hybrid Perovskites with Physics informed Machine Learning: https://purdue.webex.com/weblink/register/r4bf86ceab6311885a0c6d25a3cb23ea9

05/06/2026

nanoHUB partner SCALE (Scalable Asymmetric Lifecycle Engagement), the nation’s only U.S. defense microelectronics public-private-academic workforce development consortium, is now Purdue University’s largest-ever federally funded research effort, with more than $100 million in total funding from the U.S. Department of War.

As SCALE’s platform for connecting learners, educators, and industry with cutting-edge tools, resources, collaboration opportunities, and more, nanoHUB and Chipshub are proud to power SCALE’s digital ecosystem and help advance the future of the microelectronics workforce.

Learn more ⬇️

Purdue University’s SCALE effort is the institution’s largest federally funded research initiative, with Department of War funding exceeding $100 million through fiscal year 2027. It is the nation’s only public‑private‑academic microelectronics workforce development consortium