Ayana Ghosh

Ayana Ghosh

Research Scientist

Contact

ghosha@ornl.gov

Bio

Dr. Ghosh's research focuses on data-driven and machine learning approaches combined with the state-of-the-art first principles methods to study complex material systems. In particular, she has interests in developing physics-based machine learning frameworks to investigate causal mechanisms in a wide range of materials ranging from inorganic perovskites, actinides, 2D systems to organic crystals and polymers. Bridging the gap between appropriately utilizing data generated by simulations and experiments require a great deal of understanding the nuances present in both fields, which is the ultimate goal of her efforts. She received her MS, PhD in Materials Science and Engineering from the University of Connecticut in the summer of 2020 and BS in Physics, Abstract Mathematics from the University of Michigan-Flint in spring of 2015.

Awards

Supplemental Performance Award (SPA), CSED, ORNL, 2022
Rising Stars in Computational and Data Sciences, Sandia National Laboratories, 2022
Supplemental Performance Award (SPA), CSED, ORNL, 2021
Best Student Poster Presentation Award, Electronic Materials and Applications, ACerS Meeting, 2020
Doctoral Dissertation Fellowship, Doctoral Student Travel Fellowship, University of Connecticut, 2020
Phi Kappa Phi Honors Society John Tanaka Graduate Student Award, University of Connecticut, 2019
Best Poster Award, Annual Graduate Poster Competition, MSE, University of Connecticut, 2019
Brian D. Proffer Student Excellence Award, University of Michigan-Flint, 2015
Student Involvement and Leadership (SIL) Emerging Award, University of Michigan-Flint, 2015

Publications

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Organizations