Risultati ricerca autore :: Library Catalog

1

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? di Walker, Matthew, Butler, Keith T.

Pubblicazione 2025

Fuente: arXiv

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2

Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties di Allotey, Johannes, Butler, Keith T., Thiyagalingam, Jeyan

Pubblicazione 2021

Fuente: arXiv

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3

Optimal pre-train/fine-tune strategies for accurate material property predictions di Devi, Reshma, Butler, Keith T., Gautam, Gopalakrishnan Sai

Pubblicazione 2024

Fuente: arXiv

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Leveraging transfer learning for accurate estimation of ionic migration barriers in solids di Devi, Reshma, Butler, Keith T., Gautam, Gopalakrishnan Sai

Pubblicazione 2025

Fuente: arXiv

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5

Crystal Structure Generation with Autoregressive Large Language Modeling di Antunes, Luis M., Butler, Keith T., Grau-Crespo, Ricardo

Pubblicazione 2023

Fuente: arXiv

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6

Learning disentangled latent representations facilitates discovery and design of functional materials di Cha, Jaehoon, Lu, Tingyao, Walker, Matthew, Butler, Keith T.

Pubblicazione 2025

Fuente: arXiv

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7

A literature-derived dataset of migration barriers for quantifying ionic transport in battery materials di Devi, Reshma, Balasubramanian, Avaneesh, Butler, Keith T., Gautam, Gopalakrishnan Sai

Pubblicazione 2025

Fuente: arXiv

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8

Two-Dimensional Graphene-like BeO Sheet: A Promising Deep-Ultraviolet Nonlinear Optical Materials System with Strong and Highly Tunable Second Harmonic Generation di Liu, Linlin, Xie, Congwei, Tudi, Abudukadi, Butler, Keith, Yang, Zhihua

Pubblicazione 2025

Fuente: arXiv

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9

Conditional Generative Models Enable Targeted Exploration of MAX Phase Design Space di Swain, Jamie, Bone, Cyprien, Darby, Matthew T., Galloway, Ewan, Butler, Keith T.

Pubblicazione 2026

Fuente: arXiv

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10

Discovering new photovoltaics using optimal transport theory di Walker, Matthew A. H., Zhou, Zibo, Islam, Junayd Ul, Butler, Keith T.

Pubblicazione 2026

Fuente: arXiv

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11

Effects of Grain Boundaries and Surfaces on Electronic and Mechanical Properties of Solid Electrolytes di Xie, Weihang, Deng, Zeyu, Liu, Zhengyu, Famprikis, Theodosios, Butler, Keith T., Canepa, Pieremanuele

Pubblicazione 2023

Fuente: arXiv

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12

General Learning of the Electric Response of Inorganic Materials di Martin, Bradley A. A., Ganose, Alex M., Kapil, Venkat, Li, Tingwei, Butler, Keith T.

Pubblicazione 2025

Fuente: arXiv

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13

A Shift-Invariant Deep Learning Framework for Automated Analysis of XPS Spectra di Saddiq, Issa, Fan, Yuxin, Palgrave, Robert G., Isaacs, Mark A., Morgan, David, Butler, Keith T.

Pubblicazione 2026

Fuente: arXiv

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14

Learning Radical Excited States from Sparse Data di Shen, Jingkun, Walker, Lucy E., Ma, Kevin, Green, James D., Bronstein, Hugo, Butler, Keith T., Hele, Timothy J. H.

Pubblicazione 2024

Fuente: arXiv

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15

Infrared spectral signatures of light r-process elements in kilonovae di Jerkstrand, Anders, Pognan, Quentin, Banerjee, Smaranika, Sterling, Nicholas, Grumer, Jon, Ferguson, Niamh, Butler, Keith, Gillanders, James, Smartt, Stephen, Kawaguchi, Kyohei, Vilagos, Blanka

Pubblicazione 2025

Fuente: arXiv

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16

Discovery and recovery of crystalline materials with property-conditioned transformers di Bone, Cyprien, Walker, Matthew, Martin, Bradley A. A., Leng, Kuangdai, Antunes, Luis M., Grau-Crespo, Ricardo, Aligayev, Amil, Dominguez, Javier, Butler, Keith T.

Pubblicazione 2025

Fuente: arXiv

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17

Self-Optimizing Machine Learning Potential Assisted Automated Workflow for Highly Efficient Complex Systems Material Design di Li, Jiaxiang, Feng, Junwei, Luo, Jie, Jiang, Bowen, Zheng, Xiangyu, Song, Qigang, Lv, Jian, Butler, Keith, Liu, Hanyu, Xie, Congwei, Xie, Yu, Ma, Yanming

Pubblicazione 2025

Fuente: arXiv

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18

Materials Informatics Across the Length Scales di Nasir, Jamal Abdul, Kavak, Hamide, Der, Oguzhan, Ercetin, Ali, Akagic, Amila, Friis, Jesper, Bleken, Francesca L., Lorenzoni, Andrea, Mercuri, Francesco, Woodley, Scott M., Butler, Keith T.

Pubblicazione 2026

Fuente: arXiv

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Risultati della ricerca - Butler, Keith

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? di Walker, Matthew, Butler, Keith T.

Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties di Allotey, Johannes, Butler, Keith T., Thiyagalingam, Jeyan

Optimal pre-train/fine-tune strategies for accurate material property predictions di Devi, Reshma, Butler, Keith T., Gautam, Gopalakrishnan Sai

Leveraging transfer learning for accurate estimation of ionic migration barriers in solids di Devi, Reshma, Butler, Keith T., Gautam, Gopalakrishnan Sai

Crystal Structure Generation with Autoregressive Large Language Modeling di Antunes, Luis M., Butler, Keith T., Grau-Crespo, Ricardo

Learning disentangled latent representations facilitates discovery and design of functional materials di Cha, Jaehoon, Lu, Tingyao, Walker, Matthew, Butler, Keith T.

A literature-derived dataset of migration barriers for quantifying ionic transport in battery materials di Devi, Reshma, Balasubramanian, Avaneesh, Butler, Keith T., Gautam, Gopalakrishnan Sai

Two-Dimensional Graphene-like BeO Sheet: A Promising Deep-Ultraviolet Nonlinear Optical Materials System with Strong and Highly Tunable Second Harmonic Generation di Liu, Linlin, Xie, Congwei, Tudi, Abudukadi, Butler, Keith, Yang, Zhihua

Conditional Generative Models Enable Targeted Exploration of MAX Phase Design Space di Swain, Jamie, Bone, Cyprien, Darby, Matthew T., Galloway, Ewan, Butler, Keith T.

Discovering new photovoltaics using optimal transport theory di Walker, Matthew A. H., Zhou, Zibo, Islam, Junayd Ul, Butler, Keith T.

Effects of Grain Boundaries and Surfaces on Electronic and Mechanical Properties of Solid Electrolytes di Xie, Weihang, Deng, Zeyu, Liu, Zhengyu, Famprikis, Theodosios, Butler, Keith T., Canepa, Pieremanuele

General Learning of the Electric Response of Inorganic Materials di Martin, Bradley A. A., Ganose, Alex M., Kapil, Venkat, Li, Tingwei, Butler, Keith T.

A Shift-Invariant Deep Learning Framework for Automated Analysis of XPS Spectra di Saddiq, Issa, Fan, Yuxin, Palgrave, Robert G., Isaacs, Mark A., Morgan, David, Butler, Keith T.

Learning Radical Excited States from Sparse Data di Shen, Jingkun, Walker, Lucy E., Ma, Kevin, Green, James D., Bronstein, Hugo, Butler, Keith T., Hele, Timothy J. H.

Infrared spectral signatures of light r-process elements in kilonovae di Jerkstrand, Anders, Pognan, Quentin, Banerjee, Smaranika, Sterling, Nicholas, Grumer, Jon, Ferguson, Niamh, Butler, Keith, Gillanders, James, Smartt, Stephen, Kawaguchi, Kyohei, Vilagos, Blanka

Discovery and recovery of crystalline materials with property-conditioned transformers di Bone, Cyprien, Walker, Matthew, Martin, Bradley A. A., Leng, Kuangdai, Antunes, Luis M., Grau-Crespo, Ricardo, Aligayev, Amil, Dominguez, Javier, Butler, Keith T.

Self-Optimizing Machine Learning Potential Assisted Automated Workflow for Highly Efficient Complex Systems Material Design di Li, Jiaxiang, Feng, Junwei, Luo, Jie, Jiang, Bowen, Zheng, Xiangyu, Song, Qigang, Lv, Jian, Butler, Keith, Liu, Hanyu, Xie, Congwei, Xie, Yu, Ma, Yanming

Materials Informatics Across the Length Scales di Nasir, Jamal Abdul, Kavak, Hamide, Der, Oguzhan, Ercetin, Ali, Akagic, Amila, Friis, Jesper, Bleken, Francesca L., Lorenzoni, Andrea, Mercuri, Francesco, Woodley, Scott M., Butler, Keith T.

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