Search Results - Butler, Keith

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

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

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

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

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

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Learning disentangled latent representations facilitates discovery and design of functional materials by 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 by 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 by 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 by Swain, Jamie, Bone, Cyprien, Darby, Matthew T., Galloway, Ewan, Butler, Keith T.

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Discovering new photovoltaics using optimal transport theory by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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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