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The nanoHUB community is invited to attend The Microelectronics Security Training (MEST) Center's upcoming webinar, Agentic flow for SoC Security Verification and Validation.

Dr. Farimah Farahmandi of the University of Florida will present an agentic framework for hardware security verification, a domain-specialized conversational assistant designed to revolutionize existing verification workflows by delivering context-aware security guidance.

📅 Wednesday, June 24 at 12:00 p.m. EDT

Learn more and register:
https://mestcenter.org/training/agentic-flow-for-soc-security-verification-and-validation/

Did you know? Our partner, The Microelectronics Security Training (MEST) Center, invites U.S. citizens working in the Department of War, Government, or Government-affiliated employees, industry, U.S. college students and faculty to access their learning modules via nanoHUB.

Access here ➡️ https://nanohub.org/groups/mest/mest_modules

Please note: To gain access to the materials, please ensure you are a member of the MEST group on nanoHUB. You can request access here: https://nanohub.org/groups/mest.

NEW on nanoHUB!
DefectDB: An Open Source Infrastructure for Defect Thermodynamics in II–VI Semiconductors

This resource presents DefectDB, an open‑source infrastructure that combines high‑fidelity HSE06 density‑functional data with machine‑learning force fields (MLFFs) based on the M3GNet architecture. Watch the presentation at the link below, and follow along with the tutorial in the tool: nanohub.org/resources/defectdatabase.

🔗https://nanohub.org/resources/44527

Did you know? nanoHUB hosts so many resources that sharing just one per day would take more than 25 years!

Whether you're teaching, learning, or conducting research, there's something waiting to be discovered. Explore the collection: https://nanohub.org/resources/browse

Some significant leadership changes are taking place at Purdue University College of Engineering.

Dean Arvind Raman has been confirmed as U.S. Under Secretary of Commerce for Standards and Technology and will also serve as Director of the National Institute of Standards and Technology (NIST).

With this transition, Mark Lundstrom, founding director of nanoHUB and Purdue University's Chief Semiconductor Officer, has been appointed Interim Dean of Purdue Engineering.

For decades, Dr. Lundstrom has helped shape generations of engineers and researchers through his leadership in semiconductor education and research, as well as his vision for nanoHUB's global learning community. We look forward to seeing Purdue Engineering continue its tradition of excellence under his leadership.

Please join us in congratulating Dr. Lundstrom on his appointment!

Learn more:

Raman confirmed as U.S. undersecretary of commerce for standards and technology; Lundstrom appointed dean of engineering Arvind Raman, the John A. Edwardson Dean of the College of Engineering at Purdue University, on May 18 was confirmed by the U.S. Senate as undersecretary of commerce for standards and technology.

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

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

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.

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

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