UGM 2021 Materials Design 年度用戶活動將於 2021年再次上線 發佈日期 2021-09-30
Agenda
The Materials Design User Group Meeting represents a unique opportunity to interact with colleagues and developers, present results, learn about developments in MedeA, and see the latest developments in computational material science and engineering.
The Plenary Sessions and Training Sessions will be open to all guests in 2021. Sessions cover a broad range of research and modeling areas that will educate and inspire.
Speakers include:
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Professor Georg Kresse, The University of Vienna, Austria
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Professor Sir Richard Catlow FRS, The Royal Society, University College London, England
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Professor Michele Parrinello, Italian Institute of Technology, Italy
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Professor Chris Van de Walle, University of California Santa Barbara, USA
Check back soon for the full agenda.
Learn about our Plenary Speakers.
October 7, 2021
plenary
Catalytic Processes for Sustainable Chemical and Fuels
Sir Richard Catlow FRS
October 7, 2021 - 11:00 AM EDT / 8:00 AM PDT / 4:00 PM BST / 5:00 PM CEST / 8:30 PM IST
Catalytic Processes for Sustainable Chemical and Fuels
October 12, 2021
training
Classical Forcefield-based Methods
Marianna Yiannourakou
October 12, 2021 - 11:00 AM EDT / 8:00 AM PDT / 4:00 PM BST / 5:00 PM CEST / 8:30 PM IST
Applications of Classical Methods for Modeling Materials on the Atomic Scale
October 20, 2021
plenary
Machine Learning and Finite Temperature Properties Within and Beyond Density Functional Theory
Professor Georg Kresse
October 20, 2021 - 11:00 AM EDT / 8:00 AM PDT / 4:00 PM BST / 5:00 PM CEST / 8:30 PM IST
Machine learning and finite temperature properties within and beyond density functional theory
October 26, 2021
training
MedeA VASP and Battery Applications
Rene Windiks
October 26, 2021 - 11:00 AM EDT / 8:00 AM PDT / 4:00 PM BST / 5:00 PM CEST / 8:30 PM IST
Density Functional Theory
October 28, 2021
plenary
Machine Learning and Molecular Dynamics
Professor Michele Parrinello
October 28, 2021 - 11:00 AM EDT / 8:00 AM PDT / 4:00 PM BST / 5:00 PM CEST / 8:30 PM IST
Atomistic simulations based on an atomistic description of matter have become a most important scientific tool of contemporary material science investigations. Yet much remain to be done to extend the scope of these simulations.
November 2, 2021
training
MedeA Machine Learning Potential Generator (MLPG)
David Reith
November 2, 2021 - 11:00 AM EDT / 8:00 AM PDT / 15:00 UTC / 16:00 CET / 20:30 IST
Machine Learning Potentials
