Self-Driving Labs for Polymer Research across Scales

Join the Data, AI, and Computing Working Group on Self-Driving Labs to learn about how self-driving labs are revolutionizing polymer research by combining automation and machine learning to achieve world-record mechanical performance and unprecedented discovery speeds.

Join us on Thursday, April 30, 2026, from 12:00 p.m. to 1:00 p.m. ET.

Speaker:
Keith A. Brown is an Associate Professor of Mechanical Engineering, Materials Science & Engineering, and Physics at Boston University. He is also the Associate Chair for Graduate Programs in Mechanical Engineering. He earned an S.B. in Physics from MIT, a Ph.D. in Applied Physics at Harvard University with Robert M. Westervelt, and was an International Institute for Nanotechnology postdoctoral fellow with Chad A. Mirkin at Northwestern University. The KABlab studies approaches to accelerate the development of advanced materials and structures with a focus on polymers. The group employs self- driving labs, additive manufacturing, miniaturization of experiments using scanning probe techniques, and novel platforms for parallel materials development to achieve these goals.

Zoom Link (No Registration Required)

For more information visit the event website.

Science and TechnologyDAC Working Group on Self-Driving LabsData AI and Computing InitiativeUniversity of Notre DameAutomationCollege of EngineeringResearch

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