Application of Machine Learning in Material Synthesis and Property Prediction

Material innovation plays a very important role in technological progress and industrial development. Traditional experimental exploration and numerical simulation often require considerable time and resources. A new approach is urgently needed to accelerate the discovery and exploration of new mate...

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Detalles Bibliográficos
Autores principales: Huang, Guannan, Guo, Yani, Chen, Ye, Nie, Zhengwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488794/
https://www.ncbi.nlm.nih.gov/pubmed/37687675
http://dx.doi.org/10.3390/ma16175977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488794/
https://www.ncbi.nlm.nih.gov/pubmed/37687675
http://dx.doi.org/10.3390/ma16175977

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