Trupti Mohanty
Computational Materials Science | Generative AI | Machine Learning
trupti.mohanty@utah.edu | Salt Lake City, Utah, USA
About Me
I am a Ph.D. student in Prof. Taylor Sparks group, Materials Science & Engineering Department at the University of Utah, specializing in materials informatics and generative AI for material discovery. My research focuses on developing generative framework for text conditoned crystal structure generation, incorporating materials science objective allignment using reinforcemnet learning, developing AI agent-based workflows for property-guided materials discovery and ML workflow to accelerate alloy design.
Previously, I worked as a research scientist at the national laboratory (BARC, India) focusing on energy materials development and also contributed to industry research projects at Apple, Inc.
Research Projects
CrysText & CrysText-RL
LLM-based framework for generating crystal structures from text descriptions.
Alloy Development
Machine Learning and Bayesian Optimization for high temperature high strength niobium alloy.
Selected Publications
CrysText: A Generative AI Approach for Text-Conditioned Crystal Structure Generation using LLM
Trupti Mohanty, Maitrey Mehta, Hasan M. Sayeed, Bat-El Oded, Itay Pitussi, Arie Borenstein, Vivek Srikumar, Taylor D. Sparks
Preprint under review | View Paper
Comprehensive Insights into Global Mineral Commodities
Trupti Mohanty, Hasan M. Sayeed, Chitrasen Mohanty, & Taylor D. Sparks
PRX Energy 4, 023003 | View Paper
Machine learning guided optimal composition selection of niobium alloys
Trupti Mohanty, K. S. Ravi Chandran, & Taylor D. Sparks
APL Machine Learning 1.3 (2023) | View Paper
Contact
Email: trupti.mohanty@utah.edu
Location: Salt Lake City, Utah, USA