Peiwen Ren

Welcome to my personal website! This site is still under construction.

Research Interest: I am interested in computational materials science and science visualization. I am currently advised by Professor Felipe Jornada at Stanford University.

Previously: I was advised by Professor James Rondinelli at Northwestern Univerisity during my undergrad. During my gap year, I was a visiting student in Professor Wenhao Sun’s group at University of Michigan. I have also interned at QuesTek and Thermo-Calc.

news

Aug 11, 2022	Just created my first personal website!

selected publications

* denotes equal contribution

ChemMater

Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds

Alexandru B. Georgescu*, Peiwen Ren*, Aubrey R. Toland, and 6 more authors

Bib HTML Code

@article{georgescu_database_2021,
  title = {Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds},
  volume = {33},
  issn = {0897-4756},
  doi = {10.1021/acs.chemmater.1c00905},
  pages = {5591--5605},
  number = {14},
  journaltitle = {Chemistry of Materials},
  shortjournal = {Chem. Mater.},
  author = {Georgescu*, Alexandru B. and Ren*, Peiwen and Toland, Aubrey R. and Zhang, Shengtong and Miller, Kyle D. and Apley, Daniel W. and Olivetti, Elsa A. and Wagner, Nicholas and Rondinelli, James M.},
  date = {2021-07-27},
  note = {Publisher: American Chemical Society},
}