Discovering properties of materials using machine learning will be the subject of the first monthly seminar of the Center for Artificial Intelligence Foundations and Scientific Applications (CENSAI) in the Fall 2022 semester. The talk he will be held online on September 12th at 4pm and will be open to the Penn State community.

A. Gilad Kusne, staff scientist at the National Institute of Standards and Technology (NIST), Adjunct Professor at the University of Maryland, and Fellow of the American Physical Society, spoke about his work, which is part of the White House. To do. NIST’s Materials Genome Initiative (MGI). MGI’s purpose is to drive advanced materials discovery and innovation through machine learning.

During his presentation, Kusne will detail the system under development at NIST. The system uses machine learning to facilitate steps in the research process such as designing, running, and analyzing experiments. This approach is designed to accelerate the search for knowledge while reducing the burden on scientists.

Kusne holds bachelor’s, master’s and doctoral degrees from Carnegie Mellon University. His research focuses on using machine learning to build autonomous research systems with the aim of advancing biological materials. Kusne is currently leading the development of an international, interdisciplinary autonomous research system focused on improving solid, soft and biomaterials. Combining these research systems with machine learning enables design and execution (both lab and in silico) for further analysis. His work has earned him the highest NIST award, his NIST Bronze Award.

Housed in the Institute for Computational and Data Sciences (ICDS), CENSAI enables researchers at Penn State University to explore the use of artificial intelligence as a tool to dramatically accelerate scientific processes to

Learn more about the seminar or register here.


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