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Computational Materials Science Meets Artificial Intelligence

Computational Materials Science Meets Artificial Intelligence Presented by Dr. Lan Li, Associate Professor, Department of Materials Science, Boise State University Originally presented Thursday, September 10th, 2020 Abstract: Traditionally, computational materials science develops and implements theory and computational approaches to provide insight into materials structure, predict materials properties and performance, and optimize synthesis and characterization processes. Due to the complexity of materials and the need to accelerate materials design and development, integrating artificial intelligence (AI), especially machine learning, into the computational materials science research becomes a new trend (or “fashion”) in the field. This presentation will demonstrate the application of AI in materials design, synthesis, property and performance predictions. Specifically, the projects of using a combination of experimental, computational and machine learning approaches for electronic and energy materials selection will be presented. The challenge of using AI in the field of materials science will be also discussed. Bio: Dr. Lan Li is an Associate Professor at the Micron School of Materials Science and Engineering, Boise State University and a CAES (Center for Advanced Energy Studies) Fellow. Her general research interest is to develop multiscale modeling and data-driven approaches to design materials for electronic and energy applications. Dr. Li finished her doctorate in Nanomaterials at the University of Cambridge in the UK in 2006, followed by working in the Bio-Nano Electronic Research Center at Toyo University in Japan. She conducted her research as a post-doc associate at the University of Florida and a researcher at Kent State University in OH. In 2011, she was a senior fellow at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD, working on energy and sustainability. She joined Boise State University as a tenure-track assistant professor in late 2012. Dr. Li has been awarded the CAES Follow, Boise State University’s Top Ten Scholar Honored Faculty, TMS (The Minerals, Metal and Materials Society) Young Leader Professional Development Award, and NIST– ARRA (American Recovery and Reinvestment Act) Fellowship. She has also been a former Chair of TMS Education Committee, and presently serves as a Programming Chair for TMS ICME (Integrated Computational Materials Engineering) Committee.