Scholar
Ayana Ghosh
Google Scholar ID: LfioE2cAAAAJ
R&D Staff Scientist
Citations & Impact
Citations
1,138
H-index
19
i10-index
27
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Received multiple awards including Early Career at ORNL, 2025; Director’s Award for Outstanding Individual Accomplishment in Science and Technology, 2024; UT-Battelle Awards for Research Accomplishment, 2024; and published several papers such as 'Exploring electron-beam induced modifications of materials with machine-learning assisted high-resolution transmission electron microscopy' in npj Computational Materials.
Research Experience
- Joined ORNL as a postdoctoral research associate in 2020 and transitioned into a scientist role in 2023, currently working in the Computational Chemistry and Nanomaterials Sciences group within the Computational Sciences and Engineering Division.
Education
- PhD: Materials Science and Engineering, University of Connecticut, 2020; BS: Physics and Abstract Mathematics, University of Michigan-Flint, 2015.
Background
- Research interests: Developing physics-based machine learning methods to investigate causal mechanisms in a wide range of materials. Professional field: Computational Chemistry and Nanomaterials Sciences.
Co-authors