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English(EN) FAIRChem v2 UMA for Multidomain Atomistic Simulation across Molecules, Catalysts, Materials, Vibrations, and Molecular Dynamics

FAIRChem v2发布,用于统一原子模拟

FAIRChem v2,一种通用的机器学习原子间势能,已发布为一个统一的原子模拟框架。该框架支持分子、催化剂、材料、振动和分子动力学等不同领域。用户可以通过Hugging Face进行身份验证,以访问受限的模型权重,并为各种计算化学工作流配置特定任务的计算器,在可用时利用GPU加速。 AI

影响 能够实现跨不同科学领域更全面、更高效的原子模拟。

排序理由 该条目描述了一个用于科学模拟的新软件版本,包括模型权重和配置细节。[lever_c_demoted from research: ic=1 ai=1.0]

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FAIRChem v2发布,用于统一原子模拟

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该条目描述了一个用于科学模拟的新软件版本,包括模型权重和配置细节。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. MarkTechPost TIER_1 English(EN) · Sana Hassan ·

    FAIRChem v2 UMA 用于跨越分子、催化剂、材料、振动和分子动力学的多域原子模拟

    <p>In this tutorial, we explore FAIRChem v2 and the UMA universal machine-learning interatomic potential as a unified framework for atomistic simulation across molecular chemistry, catalysis, and inorganic materials. We configure an environment, authenticate with Hugging Face to …