History towards Universal Neural Network Potential for Material Discovery
Date: October 4, 2023
Time: 12:00PM - 01:00PM
You must be registered to participate!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.
- Gopal Rao, Editor, MRS Bulletin, Materials Research Society
This event is sponsored by Preferred Computational Chemistry, Inc.
