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Maria K. Chan

Scientist, Nanoscience

Computational modeling and AI/ML for materials design & understanding


Maria Chan is a scientist with the Center for Nanoscale Materials who studies nanomaterials and renewable energy materials, including solar cells and batteries and other energy storage, as well as photo- and electro-catalysts, thermal transport, and thermoelectrics. Particular focus is on using machine learning for efficient computational approaches and for interfacing computational models with materials characterization (x-ray, electron, and scanning probe). She is also a senior fellow at the Northwestern Argonne Institute for Science and Engineering, and a fellow of the University of Chicago Consortium for Advanced Science and Engineering.


  • BSc, Physics and Applied Mathematics, University of California at Los Angeles
  • PhD, Physics, Massachusetts Institute of Technology

Research topics

  • First principles and atomistic modeling of nanomaterials and renewable energy materials, including photovoltaics, energy storage, photo- and electro-catalysts, thermal transport, and thermoelectrics
  • Development of first principles and machine learning approaches for materials property prediction
  • Methodology and software development for integrating atomistic modeling and experimental measurements
  • First principles computation in conjunction with synchrotron x-ray characterization to determine the structure of solid-water interfaces

Current/previous projects

  • Center for Nanoscale MaterialsTheory and Modeling group: structural and electronic properties of semiconductor nanoparticles, transition-metal dichalcogenides for catalysis, hybrid perovskite photovoltaics, connecting modeling to synchrotron characterization and microscopy techniques
  • DOE Early Career Award: development of FANTASTX (Fully Automated Nanoscale To Atomistic Structures from Theory and eXperiments) for determination of structures from x-ray, electron, and scanning probe characterization
  • Midwest Integrated Center for Computational Materials: inter-operable computational modeling codes to model transport at interfaces
  • AI/ML at Scientific User Facilities: use of artificial intelligence and machine learning for information extraction from x-ray, electron microscopy, and neutron data
  • Center for Electrochemical Energy Science: high capacity lithium-ion, lithium-oxygen, and hybrid lithium-ion/lithium-oxygen battery materials, solid-electrolyte interphase, surface and interfacial interactions
  • DOE EERE Solar Energy Technology Office: grain boundaries and dopants in CdTe photovoltaics, degradation in Si photovoltaics
  • DOE ARPA-E SHIELD: nanostructured thermal barrier coatings
  • Integrated Imaging to Understand Photocatalysis: photocatalysis on transition oxide metal surfaces, integrated imaging with computational modeling
  • Argonne internal projects: computer-vision guided retrieval of microscopy images, intermediate band hybrid perovskite photovoltaics, non-equilibrium thermal transport, non-PGM catalysts
  • Industrial sponsors: electronic and lattice thermal transport modeling


Google Scholar profile



Published datasets at the Materials Data Facility

Lectures and seminars


Research News

Current postdoctoral associates

Incoming Maria Geoppart Mayer Fellow

Current doctoral student

  • Mr Eric Schwenker (Northwestern University, co supervised with Professor Chris Wolverton)
  • Mr Weixin Jiang (Northwestern University, co supervised with Professor Ollie Coissart)
  • Ms Yiming Chen (University of California, San Diego, co supervised with Professor Shyue Ping Ong)
  • Ms Sam Tetef (University of Washington, co supervised with Gerald Seidler)

Current research assistants

  • Mr Trevor Spreadbury (MIT)
  • Mr Justin Pothoof (University of Washington)
  • Ms Haili Jia (Johns Hopkins University)
  • Mr Buduka Ogonor (University of Chicago)
  • Ms Victoria Adebayo (Howard University)

Former postdoctoral associates

  • Dr Alper Kinaci (Google Scholar)(LinkedIn)(Now Senior Computational Specialist at Northwestern University)
  • Dr Fatih Sen (Google Scholar)(LinkedIn)(Now Senior Scientist, Metallurgy and Modeling at Novelis)
  • Dr Liang Li (Google Scholar)(LinkedIn) (Now data scientist at Uber)
  • Dr Yi Xia (Google Scholar)(Now postdoctoral fellow at Northwestern University)
  • Dr Kendra Letchworth-Weaver (Rahman Named Fellow)(Google Scholar)(LinkedIn)(Now Assistant Professor at James Madison University)
  • Dr Denise Ford (Duke University)
  • Dr Ji-Sang Park (Website)(Now an Assistant Professor at Kyungpook National University)
  • Dr Arun Mannodi Kanakkithodi (Google Scholar)(LinkedIn)(Website)(Now Assistant Professor at Purdue University)

Former doctoral student

  • Dr Chris Buurma (Now Modeling and Simulation Scientist at Battelle)
  • Mr Joseph Kubal (visiting from Purdue University)
  • Ms Lynza Sprawl (visiting from Oregon State University)
  • Mr Mingren Shen (University of Wisconsin Madison, co supervised with Professor Dane Morgan)

Former research assistants

  • Ms Karen Zheng (UIUC) (Food Scientist)
  • Ms Jessi Hartman (UCDavis) (Now PhD student at UIUC)
  • Ms Amy Wey (Cornell University)
  • Mr Mutian (Josh) Liu (University of Chicago)(Now at Facebook)
  • Mr Ryan Pencak (Bucknell University) (Now MS student at Cornell Tech)
  • Mr Michael Toriyama (UIUC) (2018 Barry Goldwater Scholar)
  • Mr Thierry Wambo (University of Texas San Antonio)
  • Mr Ryan Pederson (Virgnia Tech) (Now PhD student at UC Irvine)
  • Ms Grace Lu (Northwestern University) (Now PhD student at UIUC)
  • Mr Jackson O’Donnell (LinkedIn)(University of Chicago) (Now PhD student at UC Santa Cruz)
  • Mr Spencer Hills (LinkedIn)(Wheaton College) (Now medical student)
  • Mr Isaac Malsky (University of Chicago) (Now PhD student at University of MIchigan)
  • Ms Sarah O’Brien (Northwestern University) (Now Cloud Engineer at iZotope, Inc.)
  • Mr Viraaj Jayaram (University of Chicago)
  • Ms Sankhya Hirani (UIUC)
  • Mr Rahim Raja (University of Chicago)
  • Mr Marcel Chlupsa (Kansas State University)(Now PhD student at University of Michigan)

Postdoctoral and internship positions are currently available (Fall 2021). Please contact me (mchan@​anl.​gov) if interested.