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Nature Computational Science
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December 18, 2024
Predicting emergence of crystals from amorphous precursors with deep learning potentials
Muratahan Aykol, Amil Merchant, Simon Batzner, et al.
Nature
|
November 29, 2023
Scaling deep learning for materials discovery
Amil Merchant, Simon Batzner, Samuel S Schoenholz, et al.
Journal of the American Chemical Society
|
October 16, 2024
Efficient Exploratory Synthesis of Quaternary Cesium Chlorides Guided by In Silico Predictions
Akira Miura, Muratahan Aykol, Shumma Kozaki, et al.
Nature
|
January 19, 2026
Author Correction: An autonomous laboratory for the accelerated synthesis of inorganic materials
Nathan J Szymanski, Bernardus Rendy, Yuxing Fei, et al.
Nature
|
November 29, 2023
An autonomous laboratory for the accelerated synthesis of novel materials
Nathan J Szymanski, Bernardus Rendy, Yuxing Fei, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Nature Computational Science
|
December 18, 2024
Predicting emergence of crystals from amorphous precursors with deep learning potentials
Muratahan Aykol, Amil Merchant, Simon Batzner, et al.
Nature
|
November 29, 2023
Scaling deep learning for materials discovery
Amil Merchant, Simon Batzner, Samuel S Schoenholz, et al.
Journal of the American Chemical Society
|
October 16, 2024
Efficient Exploratory Synthesis of Quaternary Cesium Chlorides Guided by In Silico Predictions
Akira Miura, Muratahan Aykol, Shumma Kozaki, et al.
Nature
|
January 19, 2026
Author Correction: An autonomous laboratory for the accelerated synthesis of inorganic materials
Nathan J Szymanski, Bernardus Rendy, Yuxing Fei, et al.
Nature
|
November 29, 2023
An autonomous laboratory for the accelerated synthesis of novel materials
Nathan J Szymanski, Bernardus Rendy, Yuxing Fei, et al.
Page
of 1