Cargando…
Machine Learning: Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra (Adv. Sci. 9/2019)
With artificial intelligence (AI), we learn the relationship between molecular structure and properties. In article number 1801367, Patrick Rinke and co‐workers build a deep learning AI spectroscopist that can make predictions for molecular spectra instantly and at no further cost for the end user....
Autores principales: | Ghosh, Kunal, Stuke, Annika, Todorović, Milica, Jørgensen, Peter Bjørn, Schmidt, Mikkel N., Vehtari, Aki, Rinke, Patrick |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6498127/ http://dx.doi.org/10.1002/advs.201970053 |
Ejemplares similares
-
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
por: Ghosh, Kunal, et al.
Publicado: (2019) -
Disease Immunotherapy: Immunomodulatory Nanosystems (Adv. Sci. 17/2019)
por: Feng, Xiangru, et al.
Publicado: (2019) -
Inflammation‐Controlled Anti‐Inflammatory Hydrogels (Adv. Sci. 7/2023)
por: Helmecke, Tina, et al.
Publicado: (2023) -
Hybrid Nanoparticles: Corrosion‐Protected Hybrid Nanoparticles (Adv. Sci. 12/2017)
por: Jeong, Hyeon‐Ho, et al.
Publicado: (2017) -
Designing Inorganic Semiconductors with Cold‐Rolling Processability (Adv. Sci. 30/2022)
por: Wang, Xu‐Dong, et al.
Publicado: (2022)