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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

1,152

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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

430

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Materials Science

Working Paper

Metal-Free Perovskites for Non-Linear Optical Materials

Thomas W. Kasel, Zeyu Deng, Austin Mroz, Christopher H. Hendon, Keith Butler, Pieremanuele Canepa

Version 1 posted 03 July 2019

930

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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

245

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Theoretical and Computational Chemistry

Working Paper

Breaking the aristotype: featurisation of polyhedral distortions in perovskite crystals

Kazuki Morita, Daniel Davies, Keith Butler, Aron Walsh

Version 3 posted 16 December 2021

899

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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

333

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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

609

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Inorganic Chemistry

Working Paper

Tuning the Mechanical Properties of Dicyanamide-Based Molecular Perovskites

Shivani Grover, Stefan Burger, Karina Hemmer, Pia Vervoorts, Keith Butler, Gregor Kieslich, Ricardo Grau-Crespo

Version 1 posted 29 December 2022

192

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Nanoscience

Working Paper

Predicting Colloidal Interaction Parameters from Small Angle X-Ray Scattering Curves using Artificial Neural Networks and Markov Chain Monte Carlo Sampling

Kelvin Wong, Qi Runzhang, Yang Ye, Luo Zhi, Stefan Guldin, Keith Butler

Version 2 posted 17 April 2024

261

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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

293

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Refine Search

12 results in Keith Butler in Authors: Keith 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

Metal-Free Perovskites for Non-Linear Optical Materials

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

Breaking the aristotype: featurisation of polyhedral distortions in perovskite crystals

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

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

Tuning the Mechanical Properties of Dicyanamide-Based Molecular Perovskites

Predicting Colloidal Interaction Parameters from Small Angle X-Ray Scattering Curves using Artificial Neural Networks and Markov Chain Monte Carlo Sampling

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

12 results in Authors: Keith Butler