Cargando…
Machine learning-driven new material discovery
New materials can bring about tremendous progress in technology and applications. However, the commonly used trial-and-error method cannot meet the current need for new materials. Now, a newly proposed idea of using machine learning to explore new materials is becoming popular. In this paper, we rev...
Autores principales: | Cai, Jiazhen, Chu, Xuan, Xu, Kun, Li, Hongbo, Wei, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
RSC
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419423/ https://www.ncbi.nlm.nih.gov/pubmed/36134280 http://dx.doi.org/10.1039/d0na00388c |
Ejemplares similares
-
Materials Discovery With Machine Learning and Knowledge Discovery
por: Oliveira, Osvaldo N., et al.
Publicado: (2022) -
Computational and data driven molecular material design assisted by low scaling quantum mechanics calculations and machine learning
por: Li, Wei, et al.
Publicado: (2021) -
Data-driven discovery of innate immunomodulators via machine learning-guided high throughput screening
por: Tang, Yifeng, et al.
Publicado: (2023) -
Discovery of TIGIT inhibitors based on DEL and machine learning
por: Xiong, Feng, et al.
Publicado: (2022) -
Benchmarking the acceleration of materials discovery by sequential learning
por: Rohr, Brian, et al.
Publicado: (2020)