English(EN) MIT researchers have built CheMeleon, a foundation model for chemistry that predicts molecular properties from scant data. Pre-trained on descriptors of a milli

麻省理工学院发布 CheMeleon，一个开源化学基础模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 21:51

麻省理工学院的研究人员开发了 CheMeleon，一个用于化学的开源基础模型，即使在数据有限的情况下也能预测分子特性。CheMeleon 在海量的分子描述符数据集上进行了训练，只需少量示例即可针对溶解度或毒性等特定属性进行微调。在评估中，它在 58 个不同的测试用例中表现优于专家设计的模型。 AI

影响该模型可以通过用更少的数据更快地预测分子特性，从而加速药物发现和材料科学。

排序理由该集群描述了一个研究机构发布的一个特定科学领域（化学）的新基础模型。[lever_c_demoted from research: ic=1 ai=1.0]

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Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-11-06 21:51

MIT researchers have built CheMeleon, a foundation model for chemistry that predicts molecular properties from scant data. Pre-trained on descriptors of a milli

MIT researchers have built CheMeleon, a foundation model for chemistry that predicts molecular properties from scant data. Pre-trained on descriptors of a million PubChem molecules, it can be fine-tuned for solubility, toxicity or binding affinity with only a handful of examples,…

链接 news.mit.edu/…/how-to-predict-molecule-be…

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MIT researchers have built CheMeleon, a foundation model for chemistry that predicts molecular properties from scant data. Pre-trained on descriptors of a milli

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