Risultati della ricerca - Butler, Keith T.

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

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

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

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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

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

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

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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

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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

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

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

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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

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

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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.

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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.

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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

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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.

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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

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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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