Open Molecules 2025 and Meta’s Universal Model for Atoms: Design at the Atomic Scale | AI at Meta

Source: AI at Meta on YouTube By AI at Meta

Summary

We’re excited to release a new Density Functional Theory (DFT) dataset, Open Molecules 2025 (OMol25), that extends the family of Meta’s open science simulation datasets—which include Open Catalyst 2020-2022, Open DAC 2023, and Open Materials 2024—to molecular chemistry. Foundational quantum chemistry methods like DFT can be used to predict properties of molecules and materials at the atomic-level scale, especially in complex scenarios where chemical bonds are breaking and forming. We’re also sharing Meta’s Universal Model for Atoms (UMA), a machine learning interatomic potential that sets new standards for modeling the…

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On AI at Meta on YouTube. The "Read this on AI at Meta on YouTube" link above opens the original in a new tab. Subvolts publishes a summary and analysis, never the full piece.
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We’re excited to release a new Density Functional Theory (DFT) dataset, Open Molecules 2025 (OMol25), that extends the family of…

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Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to AI at Meta on YouTube.