Keith T. Butler

1. Crystal Structure Generation with Autoregressive Large Language Modeling
   2023/07/10 by Luis M. Antunes, Antunes, Luis M., Keith T. Butler +3 · 50 citations
   Materials Science · Chemical Engineering · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #Catalysis and Oxidation Reactions
2. Distributed Representations of Atoms and Materials for Machine Learning
   2021/07/30 by Luis M. Antunes, Ricardo Grau‐Crespo, Antunes, Luis M. +3 · 3 citations
   Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
3. Predicting Thermoelectric Transport Properties from Composition with Attention-based Deep Learning
   2022/12/13 by Luis M. Antunes, Antunes, Luis M., Keith T. Butler +3 · 3 citations
   Chemistry · Materials Science · #Advanced Thermoelectric Materials and Devices #FOS: Physical sciences #Inorganic Chemistry and Materials #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
4. Element similarity in high-dimensional materials representations
   2023/07/03 by Anthony Onwuli, Onwuli, Anthony, Ashish V. Hegde +7 · 3 citations
   Chemistry · Materials Science · #FOS: Physical sciences #History and advancements in chemistry #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
5. General Learning of the Electric Response of Inorganic Materials
   2025/08/25 by Bradley A. A. Martin, Martin, Bradley A. A., Alex M. Ganose +7 · 3 citations
   Physics and Astronomy · #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #cond-mat.mtrl-sci