[Report]
Matlantis pioneers new materials science Latest machine learning force field and linking functions

On May 22, 2024, Preferred Computational Chemistry Manager Ishida gave a presentation titled "Matlantis pioneers new materials science - the latest machine learning force field and collaboration functions" at the 26th Theoretical Chemistry Symposium. The presentation materials will be made public, so please take a look.

Title

Matlantis pioneers new materials science - Latest machine learning force fields and collaborative functions -

Abstract

– The global research and development competition surrounding universal machine learning interatomic potentials (uMLIP) is intensifying.
- Matlantis, which was released in 2021, continues to be the top runner in uMLIP, demonstrating the best performance in general benchmarks.
– Active expansion of functions is underway through collaboration with external parties and the development of lightweight models, and examples of application to various material systems have been reported.

Presentation Materials