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VERSION:2.0
PRODID:-//Iowa State University CALS LAS Web Team//sites.iastate.edu//EN
BEGIN:VEVENT
UID:20221104T202000-784-www.chem.iastate.edu
DTSTART:20221104T202000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20221104T212000Z
LOCATION:1352 Gilman 
SUMMARY:Computational materials design with machine learning and atomistic 
 simulations
CLASS:PUBLIC
DESCRIPTION:Dr. Rafael Gomez-Bombarelli\, Department of Materials Science a
 nd Engineering\, MIT\n\nHost: Dr. Potoyan\n\nDesigning new materials is vi
 tal for addressing pressing societal challenges in health\, energy\, and s
 ustainability. The computational techniques of atomistic simulation and ma
 chine learning (ML) offer an avenue to rapidly invent new materials and na
 vigate this enormous space. By populating the continuum between physics-ba
 sed simulations and machine learning\, the Learning Matter Lab seeks to en
 able rapid\, computation-first design of materials that accelerate the mat
 erials discovery cycle.\n\nMore information at: https://www.chem.iastate.e
 du/event/2022/computational-materials-design-machine-learning-and-atomisti
 c-simulations
DTSTAMP:20260509T174023Z
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