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Data-Efficient Machine learning for Predicting Dopant Formation Energies in TiO$_2$ Monolayer

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Asikainen, Kati, Alatalo, Matti, Huttula, Marko, Devi, Assa Aravindh Sasikala
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Materials Science Computational Physics
Accesso online:	Acceder al recurso
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