Xiaochen Du
Scholar

Xiaochen Du

Google Scholar ID: xpsFuekAAAAJ
MIT
computational materials designmachine learningdensity-functional theory
Citations & Impact
All-time
Citations
185
 
H-index
4
 
i10-index
3
 
Publications
10
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • Recipient of the NSF Graduate Research Fellowship.
Research Experience
  • Using deep learning and generative models to advance materials simulations.
Education
  • Currently a fourth-year PhD student at MIT, affiliated with the Chemical Engineering department and the Center for Computational Science and Engineering. Advisors are Rafael Gómez-Bombarelli and Martin Bazant. Studied both computer science and chemistry at Duke University and delved into interdisciplinary computational research before MIT.
Background
  • Research interests include surface reconstruction, with an aim to improve catalysis, energy storage, and other sustainability applications. Also interested in broader methodological developments in machine learning for the chemical sciences, such as enhanced sampling, uncertainty quantification, and lifelong learning.
Miscellany
  • Enjoys photography, playing badminton, and occasional hiking, which help maintain work-life balance amid academic pursuits.