Peng Bai

Peng Bai

Associate Professor, Chemical Engineering

Molecular Modeling; Computational Catalysis; Adsorption, Diffusion & Separations; Machine Learning and High-Throughput Computation; Nanostructured Materials and Liquids

Location

Goessmann Laboratory

Chemical Engineering Department
686 N PLEASANT ST
Amherst, MA 01003-9303
United States

Room 209

Education

  • Post-doc, University of Minnesota, 2018
  • PhD, University of Minnesota, 2014
  • BSc, Tsinghua University, 2009

Awards and distinctions

  • 2024 DARPA Young Faculty Award
  • 2024 Chemical Communications Pioneering Investigators
  • 2023 Journal of Materials Chemistry Emerging Investigator
  • 2022 National Science Foundation CAREER Award
  • 2021 American Chemical Society, Petroleum Research Fund, Doctoral New Investigator Award
  • 2014 ACS Chemical Computing Group Excellence Award
  • 2013 AIChE CoMSEF Graduate Student Award
  • 2012 Champion, 7th Industrial Fluid Properties Simulation Challenge
  • 2009 – 13 Graduate School & Doctoral Dissertation Fellowships, University of Minnesota