New framework enables AI agents to conduct atomistic research

Researchers have developed AtomisticSkills, an open-source framework designed to enable AI coding agents to perform complex atomistic research across materials science, chemistry, and drug discovery. This framework organizes scientific workflows into modular skills and tools, integrating over 100 curated capabilities such as database access, thermodynamic modeling, and simulation engines. AtomisticSkills has been validated through diverse scientific campaigns, including the generative design of electrolytes and catalyst screening, positioning it as crucial infrastructure for developing autonomous AI scientists. AI

影响 Enables AI agents to autonomously conduct complex scientific research, potentially accelerating discovery in materials science and chemistry.

排序理由 The cluster contains an academic paper detailing a new open-source framework for AI agents in scientific research. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

• AI coding agents
• AtomisticSkills
• chemistry
• drug discovery
• machine learning interatomic potentials (MLIPs)
• materials science

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