Aron Walsh
Scholar

Aron Walsh

Google Scholar ID: Ktvn91gAAAAJ
Department of Materials, Imperial College London
Materials DesignSolid-State ChemistryAI for ScienceSolar Energy
Citations & Impact
All-time
Citations
51,712
 
H-index
107
 
i10-index
386
 
Publications
20
 
Co-authors
209
list available
Resume (English only)
Academic Achievements
  • - EU-40 prize from the European Materials Research Society
  • - Chemistry Society Reviews Emerging Investigator Lectureship
  • - Philip Leverhulme Prize in Chemistry
  • - Corday-Morgan Prize from the RSC
  • - Elected to Academia Europaea in 2025
  • - Select publications:
  • - Machine learning for molecular and materials science: https://www.nature.com/articles/s41586-018-0337-2
  • - Best practices in machine learning for chemistry: https://www.nature.com/articles/s41557-021-00716-z
  • - Has generative artificial intelligence solved inverse materials design? https://doi.org/10.1016/j.matt.2024.05.017
Research Experience
  • - Worked for the US Department of Energy at the National Renewable Energy Laboratory
  • - Marie Curie Fellowship hosted by University College London
  • - Royal Society University Research Fellowship at the University of Bath
  • - Research Area Lead for Modelling & Simulation at the Henry Royce Institute
  • - Associate Editor for the Journal of the American Chemical Society (JACS) covering artificial intelligence
Education
  • PhD in Chemistry from Trinity College Dublin
Background
  • A Full Professor and Fellow of the Royal Society of Chemistry (FRSC) in the Department of Materials. Leads the Materials Design Group within the Thomas Young Centre. Research involves cutting-edge materials theory and machine learning applied to problems across solid-state chemistry and physics, including materials for solar cells and fuels, batteries, thermoelectrics, and solid-state lighting.
Miscellany
  • Expertise in semiconductor and dielectric theory, and developing innovative approaches for materials data, informatics, and design.