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Theoretical and Computational Chemistry

Working Paper

Data-driven Discovery of Photoactive Quaternary Oxides using First-principles Machine Learning

Daniel Davies, Keith T. Butler, Aron Walsh

Version 1 posted 18 April 2019

1,141

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Inorganic Chemistry

Working Paper

Differentiating the Role of Organic Additives to Assemble Open Framework Aluminosilicate Zeolites Using INS Spectroscopy

Antony Nearchou, Jeff Armstrong, Keith T. Butler, Paul R. Raithby, Asel Sartbaeva

Version 1 posted 22 October 2019

421

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Materials Science

Working Paper

A flexible, scalable generative network for self-supervised tomographic image reconstruction

Hongyang Dong, Simon D.M. Jacques, Winfried Kockelmann, Stephen W. T. Price, Robert Emberson, Dorota Matras, Yaroslav Odarchenko, Vesna Middelkoop, Athanasios Giokaris, Olof Gutowski, Ann-Christin Dippel, Martin v. Zimmermann, Andrew M. Beale, Keith T. Butler, Antonis Vamvakeros

Version 2 posted 06 June 2023

319

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Materials Chemistry

Working Paper

Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data

Andy S. Anker, Keith T. Butler, Manh Duc Le, Toby G. Perring, Jeyan Thiyagalingam

Version 1 posted 21 December 2022

231

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Theoretical and Computational Chemistry

Working Paper

Mapping inorganic crystal chemical space

Hyunsoo Park, Anthony Onwuli, Keith T. Butler, Aron Walsh

Version 1 posted 02 January 2024

642

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Materials Science

Working Paper

A neural network reconstruction approach for obtaining parallax-free X-ray powder diffraction computed tomography data from large samples

Hongyang Dong, Simon D.M. Jacques, Keith T. Butler, Olof Gutowski, Ann-Christin Dippel, Martin von Zimmerman, Andrew M. Beale, Antonis Vamvakeros

Version 3 posted 22 August 2024

259

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Materials Chemistry

Review

Machine Learning for Analysis of Experimental Scattering and Spectroscopy Data in Materials Chemistry

Andy S. Anker, Keith T. Butler, Raghavendra Selvan, Kirsten Marie Ørnsbjerg Jensen

Version 1 posted 30 August 2023

573

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Theoretical and Computational Chemistry

Working Paper

Ionic species representations for materials informatics

Anthony Onwuli, Keith T. Butler, Aron Walsh

Version 1 posted 05 August 2024

486

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Refine Search

8 results in Keith T. Butler in Authors: Keith T. Butler

Data-driven Discovery of Photoactive Quaternary Oxides using First-principles Machine Learning

Differentiating the Role of Organic Additives to Assemble Open Framework Aluminosilicate Zeolites Using INS Spectroscopy

A flexible, scalable generative network for self-supervised tomographic image reconstruction

Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data

Mapping inorganic crystal chemical space

A neural network reconstruction approach for obtaining parallax-free X-ray powder diffraction computed tomography data from large samples

Machine Learning for Analysis of Experimental Scattering and Spectroscopy Data in Materials Chemistry

Ionic species representations for materials informatics

8 results in Authors: Keith T. Butler