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Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Li, Wenwen, Orimo, Yuki, Charoenphakdee, Nontawat
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Materials Science Computational Physics
Accesso online:	Acceder al recurso
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