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Artificial Intelligence-Enabled Experimental Characterization for Accelerated Materials Research

Mathematics of Data & Decisions

Speaker: Zhantao Chen
Location: Zoom
Start time: Tue, May 20 2025, 3:10PM

Breakthroughs in materials science are essential for driving technological advances and addressing emerging grand challenges in energy and information. However, the discovery and design of novel materials remain hindered by a vast design space and bottlenecks in computational and experimental capabilities. In this talk, I will present how Artificial Intelligence (AI) can enable materials design and discovery by transforming current experimental characterization. Specifically, I will discuss three main areas that I have been advancing: (1) AI-driven spectroscopy prediction toward application-targeted materials discovery, (2) AI-enabled solutions to challenging inverse problems in materials characterization for enhanced knowledge extraction from experiments, and (3) On-the-fly experimental planning and materials properties learning using AI to improve experimental efficiency. This talk will feature studies spanning a broad range of scientific fields and AI methods, highlighting the versatile and transformative role of AI in driving scientific discoveries and accelerating materials research.