Energy-based model generates physically consistent molecules

Researchers have developed EBMol, a novel energy-based model for generating physically consistent 3D molecules. This model learns an atom-additive potential without requiring explicit simulations during training, utilizing a Restoring Field Matching objective. EBMol achieves state-of-the-art performance on QM9 and GEOM-Drugs benchmarks and offers a principled quality metric for molecular configurations. AI

影响 Introduces a new method for generating physically consistent molecules, potentially advancing drug discovery and materials science.

排序理由 The cluster contains a new academic paper detailing a novel model for molecular generation. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

• Christoph Griesbacher
• EBMol
• GEOM-Drugs
• QM9

• 论文
• 模型发布

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