AI-Powered Materials Seminar Series: Day 1

The AI-Powered Materials Seminar Series will take place on Wednesday, April 22; Tuesday, April 28; and Friday, May 1, from 11 a.m. to 1 p.m. in Pollock Dining Commons Room 204. Talks will begin promptly at 11:30 a.m.; lunch is provided.

Penn State faculty members will present materials research problems that could benefit from collaborations with AI and machine learning experts including faculty, students, and staff. The goal of this series is to pair the presenters with at least one collaborator by the end of the series.

Registration is required to attend. Registration can be done via this Google Form.

Find complete details, including seminar agenda and presenter abstracts, on the ICDS website.

April 22 presenters include:

• Christos Argyropolous, associate professor in the Department of Electrical Engineering, presenting "AI-Powered Topology Optimization of Quantum Metamaterials"
• Reginald Hamilton, associate professor of engineering science and mechanics, presenting "Learning Thermoelastic Character: A Multimodal Processing-Structure-Property-Performance Framework for Shape Memory Alloy Design"
  

April 28 presenters include:

• Linxiao Zhu, assistant professor in the Department of Mechanical Engineering, presenting "Opportunities for AI-driven design of photonic materials for energy and sensing"
• Darren Pagan, assistant professor or materials science and engineering and of mechanical engineering, presenting "AI/ML Opportunity in Materials: Identifying Rare Events to Predict Material Properties and Failure"

May 1 presenters include:

• Stephanie Law, Quantum Hub associate director, associate professor of materials science and engineering and Wilson Faculty Fellow, presenting "AI-Powered Growth Recipe Optimization"
• Anthony Richardella, assistant research professor, Materials Characterization Lab, presenting "Usage of LLMs for data analysis and discovery of 2DCC materials data"