Maria Chan, PhD
Affiliations: | Center for Nanoscale Materials | Argonne National Laboratory, Lemont, IL, United States |
Area:
Modeling, Batteries, Photovloltaics, Catalysis, Thermal TransportWebsite:
https://www.anl.gov/profile/maria-k-chanGoogle:
"Maria Chan Argonne"Mean distance: 11.02 | S | N | B | C | P |
Parents
Sign in to add mentor| Gerbrand Ceder | grad student | 2004-2009 | MIT |
| Jeffrey Greeley | post-doc | 2010-2012 | Argonne National Laboratory |
Children
Sign in to add trainee| Liang Li | post-doc | 2015- | Argonne National Laboratory |
| Arun Kunmar Mannodi-Kannakithodi | post-doc | 2017- | Argonne National Laboratory |
| Joshua T Paul | post-doc | 2020- | Northwestern University , Argonne National Lab (Physics Tree) |
| Alper Kinaci | post-doc | 2013-2016 | Argonne National Laboratory |
| Fatih Sen | post-doc | 2014-2018 | Argonne National Laboratory |
| Kendra Letchworth-Weaver | post-doc | 2015-2018 | Argonne National Laboratory |
| Joseph Kubal | research scientist | 2017-2018 | Argonne National Laboratory |
BETA: Related publications
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Publications
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| Schwenker E, Kolluru VSC, Guo J, et al. (2022) Ingrained: An Automated Framework for Fusing Atomic-Scale Image Simulations into Experiments. Small (Weinheim An Der Bergstrasse, Germany). e2102960 |
| Polak MP, Jacobs R, Mannodi-Kanakkithodi A, et al. (2022) Machine learning for impurity charge-state transition levels in semiconductors from elemental properties using multi-fidelity datasets. The Journal of Chemical Physics. 156: 114110 |
| Li Q, Kolluru VSC, Rahn MS, et al. (2021) Synthesis of borophane polymorphs through hydrogenation of borophene. Science (New York, N.Y.). 371: 1143-1148 |
| Mannodi-Kanakkithodi A, Toriyama MY, Sen FG, et al. (2020) Machine-learned impurity level prediction for semiconductors: the example of Cd-based chalcogenides Npj Computational Materials. 6 |
| Paulauskas T, Sen FG, Sun C, et al. (2019) Stabilization of a monolayer tellurene phase at CdTe interfaces. Nanoscale |
| Evmenenko G, Warburton RE, Yildirim H, et al. (2019) Understanding the Role of Overpotentials in Lithium Ion Conversion Reactions: Visualizing the Interface. Acs Nano |
| Guo J, Mannodi-Kanakkithodi A, Sen FG, et al. (2019) Effect of selenium and chlorine co-passivation in polycrystalline CdSeTe devices Applied Physics Letters. 115: 153901 |
| Chan H, Narayanan B, Cherukara MJ, et al. (2019) Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data The Journal of Physical Chemistry C. 123: 6941-6957 |
| Guo J, Sen FG, Mannodi-Kannakithodi A, et al. (2019) Study of Effects of Cl and Se in CdSeTe Solar Cells Using Scanning Transmission Electron Microscopy Microscopy and Microanalysis. 25: 2150-2151 |
| Li L, Zhang R, Vinson J, et al. (2018) Imaging Catalytic Activation of CO on CuO (110): A First-Principles Study. Chemistry of Materials : a Publication of the American Chemical Society. 30 |