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Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Bastawrous, Mary V., Chen, Zhi, Ogren, Alexander C., Daraio, Chiara, Rudin, Cynthia, Brinson, L. Catherine
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Applied Physics Machine Learning
Accesso online:	Acceder al recurso
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