History towards Universal Neural Network Potential for Material Discovery

Date: October 4, 2023

Time: 12:00PM - 01:00PM

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The rapid advancements of Artificial Intelligence technology have brought about revolutionary changes in materials discovery.

Neural Network Potential (NNP) describes molecular dynamics force field using a neural network, and many physical properties can be simulated using this single neural network. The webinar reviews the history of NNP research to understand how dataset & neural network architecture are improved.

We also describe the effort to develop a universal neural network and introduce the "PreFerred Potential (PFP)" implemented in Matlantis.

Speakers:

Kosuke Nakago, Preferred Networks, Inc.
Taku Watanabe, Preferred Computational Chemistry Inc.

Hosts:

Gopal Rao, Editor, MRS Bulletin, Materials Research Society

This event is sponsored by Preferred Computational Chemistry, Inc.