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Keith T Butler

Showing results (21-30 of 49) with videos related to

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Journal of Physics. Condensed Matter : an Institute of Physics Journal|February 26, 2021
Interpretable, calibrated neural networks for analysis and understanding of inelastic neutron scattering dataKeith T Butler, Manh Duc Le, Jeyan Thiyagalingam, et al.
Nature|July 27, 2018
Machine learning for molecular and materials scienceKeith T Butler, Daniel W Davies, Hugh Cartwright, et al.
Chemical Science|December 15, 2023
Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistryAndy S Anker, Keith T Butler, Raghavendra Selvan, et al.
Physical Chemistry Chemical Physics : PCCP|July 2, 2020
Differentiating the role of organic additives to assemble open framework aluminosilicates using INS spectroscopyAntony Nearchou, Jeff Armstrong, Keith T Butler, et al.
ACS Applied Materials & Interfaces|March 20, 2018
Band Engineering of Carbon Nitride Monolayers by N-Type, P-Type, and Isoelectronic Doping for Photocatalytic ApplicationsMeysam Makaremi, Sean Grixti, Keith T Butler, et al.
JACS Au|September 27, 2024
Predicting Colloidal Interaction Parameters from Small-Angle X-ray Scattering Curves Using Artificial Neural Networks and Markov Chain Monte Carlo SamplingKelvin Wong, Runzhang Qi, Ye Yang, et al.
Chemistry of Materials : a Publication of the American Chemical Society|June 9, 2016
Interplay of Orbital and Relativistic Effects in Bismuth Oxyhalides: BiOF, BiOCl, BiOBr, and BiOIAlex M Ganose, Madeleine Cuff, Keith T Butler, et al.
Chemical Society Reviews|March 19, 2016
Computational materials design of crystalline solidsKeith T Butler, Jarvist M Frost, Jonathan M Skelton, et al.
The Journal of Chemical Physics|November 17, 2015
Crystal structure optimisation using an auxiliary equation of stateAdam J Jackson, Jonathan M Skelton, Christopher H Hendon, et al.
Nature Chemistry|June 1, 2021
Best practices in machine learning for chemistryNongnuch Artrith, Keith T Butler, François-Xavier Coudert, et al.
Pageof 5

Showing results (21-30 of 49) with videos related to

Sort By:
Pageof 5
Journal of Physics. Condensed Matter : an Institute of Physics Journal|February 26, 2021
Interpretable, calibrated neural networks for analysis and understanding of inelastic neutron scattering dataKeith T Butler, Manh Duc Le, Jeyan Thiyagalingam, et al.
Nature|July 27, 2018
Machine learning for molecular and materials scienceKeith T Butler, Daniel W Davies, Hugh Cartwright, et al.
Chemical Science|December 15, 2023
Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistryAndy S Anker, Keith T Butler, Raghavendra Selvan, et al.
Physical Chemistry Chemical Physics : PCCP|July 2, 2020
Differentiating the role of organic additives to assemble open framework aluminosilicates using INS spectroscopyAntony Nearchou, Jeff Armstrong, Keith T Butler, et al.
ACS Applied Materials & Interfaces|March 20, 2018
Band Engineering of Carbon Nitride Monolayers by N-Type, P-Type, and Isoelectronic Doping for Photocatalytic ApplicationsMeysam Makaremi, Sean Grixti, Keith T Butler, et al.
JACS Au|September 27, 2024
Predicting Colloidal Interaction Parameters from Small-Angle X-ray Scattering Curves Using Artificial Neural Networks and Markov Chain Monte Carlo SamplingKelvin Wong, Runzhang Qi, Ye Yang, et al.
Chemistry of Materials : a Publication of the American Chemical Society|June 9, 2016
Interplay of Orbital and Relativistic Effects in Bismuth Oxyhalides: BiOF, BiOCl, BiOBr, and BiOIAlex M Ganose, Madeleine Cuff, Keith T Butler, et al.
Chemical Society Reviews|March 19, 2016
Computational materials design of crystalline solidsKeith T Butler, Jarvist M Frost, Jonathan M Skelton, et al.
The Journal of Chemical Physics|November 17, 2015
Crystal structure optimisation using an auxiliary equation of stateAdam J Jackson, Jonathan M Skelton, Christopher H Hendon, et al.
Nature Chemistry|June 1, 2021
Best practices in machine learning for chemistryNongnuch Artrith, Keith T Butler, François-Xavier Coudert, et al.
Pageof 5