新的 ATOM 框架使用多智能体协调进行分子优化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 04:00

研究人员开发了一个名为 ATOM 的新多智能体框架，用于分子优化。该方法将分子设计视为一种树状搜索，其中每个节点上的智能体专门负责特定的目标或决策上下文。通过沿着不同路径进行协调，而不是强制全局共识，ATOM 可以探索和比较多个分子演化轨迹。实验表明，ATOM 在具有挑战性的多目标基准测试中提高了帕累托覆盖率和超体积，证明了其在复杂分子设计任务中的有效性。 AI

影响引入了一种新颖的多智能体协调策略，用于复杂的分子设计，有可能加速药物发现和材料科学。

排序理由该集群包含一篇详细介绍分子优化新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

arXiv
ATOM

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Jia Zhang, Tengfei Ma, Tianle Li, Daojian Zeng, Xieping Gao, Xiangxiang Zeng · 2026-06-02 04:00

Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization

arXiv:2606.00008v1 Announce Type: new Abstract: Multi-objective molecular optimization requires searching vast chemical spaces under conflicting objectives, where early design decisions strongly constrain downstream outcomes. Existing methods typically rely on a single policy or …

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Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization

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