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Introducing physics-informed generative models for targeting structural novelty in the exploration of chemical space

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Vasylenko, Andrij, Ottomano, Federico, Collins, Christopher M., Savani, Rahul, Dyer, Matthew S., Rosseinsky, Matthew J.
Format:	Preprint
Publié:	2025
Sujets:	Materials Science Machine Learning
Accès en ligne:	Acceder al recurso
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