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 materials discovery. My research focuses on developing generative frameworks for text-conditioned crystal structure generation, incorporating materials science objective alignment using reinforcement learning, developing AI agent-based workflows for property-guided materials discovery, ML workflows to accelerate alloy design, and AI tools for sustainable materials supply chain analysis.
Previously, I worked as a research scientist at the national laboratory (BARC, India), focusing on energy materials development and contributed to industry research projects during my internship 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
Manuscript under review | View Preprint
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