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Keith T Butler

Showing results (11-20 of 49) with videos related to

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Journal of the American Chemical Society|January 23, 2014
Electronic chemical potentials of porous metal-organic frameworksKeith T Butler, Christopher H Hendon, Aron Walsh
Nature Communications|December 6, 2024
Crystal structure generation with autoregressive large language modelingLuis M Antunes, Keith T Butler, Ricardo Grau-Crespo
Faraday Discussions|September 18, 2024
Mapping inorganic crystal chemical spaceHyunsoo Park, Anthony Onwuli, Keith T Butler, et al.
The Journal of Physical Chemistry Letters|April 14, 2020
Understanding the Balance of Entropy and Enthalpy in Hydrogen-Halide Noncovalent BondingDavid Bodesheim, Gregor Kieslich, Mike Johnson, et al.
Physical Chemistry Chemical Physics : PCCP|March 31, 2022
Ultralow work function of the electride Sr<sub>3</sub>CrN<sub>3</sub>Cuicui Wang, Miaoting Xu, Keith T Butler, et al.
Scientific Data|December 5, 2025
A literature-derived dataset of migration barriers for quantifying ionic transport in battery materialsReshma Devi, Avaneesh Balasubramanian, Keith T Butler, et al.
The Journal of Chemical Physics|July 17, 2020
Modeling the dielectric constants of crystals using machine learningKazuki Morita, Daniel W Davies, Keith T Butler, et al.
Faraday Discussions|July 21, 2018
Materials discovery by chemical analogy: role of oxidation states in structure predictionDaniel W Davies, Keith T Butler, Olexandr Isayev, et al.
Chemical Science|June 2, 2017
Organised chaos: entropy in hybrid inorganic-organic systems and other materialsKeith T Butler, Aron Walsh, Anthony K Cheetham, et al.
The Journal of Physical Chemistry Letters|May 25, 2021
Bandgap Engineering in the Configurational Space of Solid Solutions via Machine Learning: (Mg,Zn)O Case StudyScott D Midgley, Said Hamad, Keith T Butler, et al.
Pageof 5

Showing results (11-20 of 49) with videos related to

Sort By:
Pageof 5
Journal of the American Chemical Society|January 23, 2014
Electronic chemical potentials of porous metal-organic frameworksKeith T Butler, Christopher H Hendon, Aron Walsh
Nature Communications|December 6, 2024
Crystal structure generation with autoregressive large language modelingLuis M Antunes, Keith T Butler, Ricardo Grau-Crespo
Faraday Discussions|September 18, 2024
Mapping inorganic crystal chemical spaceHyunsoo Park, Anthony Onwuli, Keith T Butler, et al.
The Journal of Physical Chemistry Letters|April 14, 2020
Understanding the Balance of Entropy and Enthalpy in Hydrogen-Halide Noncovalent BondingDavid Bodesheim, Gregor Kieslich, Mike Johnson, et al.
Physical Chemistry Chemical Physics : PCCP|March 31, 2022
Ultralow work function of the electride Sr<sub>3</sub>CrN<sub>3</sub>Cuicui Wang, Miaoting Xu, Keith T Butler, et al.
Scientific Data|December 5, 2025
A literature-derived dataset of migration barriers for quantifying ionic transport in battery materialsReshma Devi, Avaneesh Balasubramanian, Keith T Butler, et al.
The Journal of Chemical Physics|July 17, 2020
Modeling the dielectric constants of crystals using machine learningKazuki Morita, Daniel W Davies, Keith T Butler, et al.
Faraday Discussions|July 21, 2018
Materials discovery by chemical analogy: role of oxidation states in structure predictionDaniel W Davies, Keith T Butler, Olexandr Isayev, et al.
Chemical Science|June 2, 2017
Organised chaos: entropy in hybrid inorganic-organic systems and other materialsKeith T Butler, Aron Walsh, Anthony K Cheetham, et al.
The Journal of Physical Chemistry Letters|May 25, 2021
Bandgap Engineering in the Configurational Space of Solid Solutions via Machine Learning: (Mg,Zn)O Case StudyScott D Midgley, Said Hamad, Keith T Butler, et al.
Pageof 5