Keith  Tobias Butler
Scholar

Keith Tobias Butler

Google Scholar ID: eruLmgUAAAAJ
Department of Chemistry, University College London
Machine LearningMaterials ScienceEnergy MaterialsInterfaces
Citations & Impact
All-time
Citations
12,029
 
H-index
42
 
i10-index
95
 
Publications
20
 
Co-authors
85
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • News and views article in Nature Machine Intelligence: Accelerating molecular dynamics by going with the flow
  • A new collaboration: Learning radical excited states from sparse data
  • New 3 yr PostDoc position available in MDIG: Research Fellow in Machine Learning for Materials Design
  • New preprint: Learning disentangled latent representations facilitates discovery and design of functional materials
  • New preprint: The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics?
  • 2016, Chem: Computational screening of all stoichiometric inorganic materials
  • 2018, Nature: Machine learning for molecular and materials science
  • 2019, npj Computational Materials: Designing interfaces in energy materials applications with first-principles calculations
  • 2022, npj Computational Materials: Distributed representations of atoms and materials for machine learning
  • 2021, The Journal of Chemical Physics: Entropy-based active learning of graph neural network surrogate models for materials properties
  • 2022, Accounts of Materials Research: Interpretable and explainable machine learning for materials science and chemistry
Research Experience
  • We use a combination of data-driven methods (such as deep learning and Bayesian statistics) and quantum mechanics calculations to design new materials on computers and to help accelerate the experimental characterization of materials. We work with other academics, national facilities, and companies.
Background
  • The Materials Design and Informatics Group (MDIG) is a research collective, working to accelerate the development of new green energy materials. We are based at UCL, in the Department of Chemistry.
Miscellany
  • Connect on email or Twitter.