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Machine Learning for Molecules and Materials

Inside Livermore Lab via YouTube

Overview

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Join a compelling one-hour talk by Prof. Dr. Max Welling from the University of Amsterdam exploring the revolutionary impact of artificial intelligence and machine learning in natural sciences. Discover how AI has evolved beyond text and image applications to earn Nobel Prizes in Physics and Chemistry, with detailed discussions on ML Force Fields, Classical DFT, and PDE modeling. Learn how mathematics, physics, and neuroscience continue to inspire improvements in ML algorithms, and understand the crucial role this technological revolution plays in addressing global challenges like climate change. Delivered by a distinguished expert with extensive experience at Microsoft Research, Qualcomm Technologies, and various academic institutions, who brings unique insights from his background in theoretical high energy physics and collaborations with Nobel laureates. The presentation offers valuable perspectives on the intersection of AI with molecular and materials science, demonstrating how these advancements are shaping the future of scientific discovery.

Syllabus

DDPS | “Machine Learning for Molecules and Materials”

Taught by

Inside Livermore Lab

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