[Free Webinar] MIT Professor Ju Li: Inventing a universal interatomic potential using machine learning and its applications

Japan:May 30, 2023 (Tue) 8:00 – 9:30 (Japan time)
USA: Monday, May 29, 2023 19:00 – 20:30 (Eastern Time) | 16:00 – 17:30 (West Coast Time)
Zoom Webinar (English)
Lecturer: Professor Ju Li, Massachusetts Institute of Technology (MIT)

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Matlantis™ will host a webinar with Professor Ju Li from MIT. The lecture will be in English.

• Lecturer: Ju Li, a professor at the Department of Nuclear Science and Engineering and Department of Materials Science and Engineering at Massachusetts Institute of Technology (MIT)
• Title: The Invention and Applications of Universal Machine Learning Interatomic Potential.
• Date and time: Tuesday, May 30, 2023, 8:00 – 9:30 (Zoom Webinar)

Registration is free. We look forward to your participation, and we welcome everyone with an interest in the cutting edge of computational science.

In this webinar, Professor Li will describe the recent invention of a robust universal machine learning interatomic potential that covers much of the periodic table. More than one thousand GPU years were used to generate the ab initio training data guided by active learning. Diverse test simulations have shown this machine learning potential has outstanding performance, with energy error significantly less than the chemical accuracy (43 meV/atom) for even chemically very complex systems. This universal potential, which powers the Matlantis™ atomistic simulator, can run over 10,000 times faster than density functional theory (DFT) when dealing with several thousand atoms, and the latest release allows for more than 10,000 atoms of arbitrary combinations of 72 elements to be simulated together. Going from a few hundred atoms in DFT to up to 55,000 atoms in Matlantis™, one can study realistic microstructures such as extended defects with curvatures and their interactions, realistic phase transformations, plastic deformation and damage evolution, electrochemical interfaces, etc.

Who should attend:

• Computational scientists who are facing limitations of their current calculation/simulation approach
• Researchers who are interested in discovering game-changing new materials using computer simulation
• Anyone who is interested in knowing about what’s happening at the forefront of materials informatics
  
  

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Biography of Professor Ju Li​

Ju Li has held faculty positions at the Ohio State University, the University of Pennsylvania, and is presently a chaired professor at Massachusetts Institute of Technology.  His group investigates the mechanical, electrochemical and transport behaviors of materials as well as novel means of energy storage and conversion. Ju is a recipient of the 2005 Presidential Early Career Award for Scientists and Engineers, the 2006 Materials Research Society Outstanding Young Investigator Award, and the TR35 award from Technological Review. Ju was elected Fellow of the American Physical Society in 2014 and a Fellow of the Materials Research Society in 2017. In 2016 Ju Li co-founded one of the MIT Energy Initiative (MITEI) Low-Carbon Energy Centers, the Center for Materials in Energy and Extreme Environments (CME).