DPA4: A Generalist Foundation Model for the Era of On-Demand Interatomic Potentials

Published: 01 Jun 2026, Last Modified: 11 Jun 2026AI4X-AC 2026 PosterEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for poster only
Keywords: AI for science, machine-learning interatomic potentials, equivariant neural networks, molecular dynamics, materials discovery
TL;DR: DPA4 sets a new accuracy-efficiency frontier for equivariant interatomic potentials, achieving state-of-the-art results on materials and molecular benchmarks with native short-range physics and compiled conservative-force training.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 452
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