John Kitchin
Scholar

John Kitchin

Google Scholar ID: jD_4h7sAAAAJ
Carnegie Mellon University
catalysismachine learning
Citations & Impact
All-time
Citations
25,776
 
H-index
38
 
i10-index
90
 
Publications
20
 
Co-authors
24
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Multiscale Perturbation Methods for Dynamic/Programmable Catalysis
  • - How Electrolyte pH Affects the Oxygen Reduction Reaction
  • - Uncertainty Quantification in Graph Neural Networks With Shallow Ensembles
  • - Towards Agentic Science for Advancing Scientific Discovery
  • - Mapping uncertainty using differentiable programming
Research Experience
  • - Member of the Chemical Engineering department at Carnegie Mellon University
  • - Research interests include developing machine learned potentials for molecular simulations, design of experiments for high-throughput experimentation, etc.
Background
  • An expert in the field of chemical engineering, focusing on utilizing data science and machine learning to solve problems in catalysis and engineering.