PFCC Launches Matlantis High-Speed Universal Atomistic Simulator for AI-Driven Materials Discovery in United States
Cloud-based service simulates atomistic behavior of undiscovered materials up to 20 million times faster than conventional method
TOKYO – April 28, 2023 – Preferred Computational Chemistry (PFCC), a joint venture between Preferred Networks, Inc. and ENEOS Corporation, has launched Matlantis™, a cloud-based, high-speed universal atomistic simulator for artificial intelligence (AI)-driven materials discovery, for companies and organizations in the United States.
Based on a proprietary AI technology featured in Editor’s Highlights in the scientific journal Nature Communications last year, Matlantis is currently helping over 50 Japan-based companies and organizations search for new materials on computers up to 20 million times faster than the conventional density functional theory (DFT) method.
Please see today’s press release from PFCC for more information.