Theme 01
Thermodynamics-coupled multiphysics
Developing methods that connect chemistry, transport, corrosion, and material behavior instead of treating them as isolated pieces.
Computational Scientist at Idaho National Laboratory
Building computational tools for advanced nuclear systems.
I develop thermodynamically informed multiphysics methods for nuclear fuels, materials, and reactor systems. My work sits at the intersection of scientific computing, physics-based modeling, and research software development.
Research
A systems view of nuclear modeling.
The site is organized around the work itself: computational thermochemistry, multiphysics coupling, advanced reactor analysis, and the software needed to make those models usable at scale.
Theme 02
Molten-salt reactor chemistry and corrosion
Modeling chemically evolving reactor environments across microstructural and engineering scales, with particular attention to species tracking and safety.
Theme 03
Reduced-order and machine-learning acceleration
Building surrogate strategies that preserve physical meaning while cutting the cost of high-fidelity thermodynamics-informed simulations.
Selected work
From core methods to deployable scientific tools.
Yellowjacket
During his doctoral work, Parikshit led development of a MOOSE-based Gibbs-energy minimizer for thermochemical equilibrium calculations.
- Thermochemical equilibrium
- MOOSE framework
- Scientific software design
MSR species accountancy and depletion
Contributing to full-loop molten-salt reactor chemistry and corrosion modeling with coupled species accounting across multiphysics workflows.
- Molten-salt systems
- Corrosion modeling
- Coupled analyses
Graphite property modeling
Working on material-property and mechanistic models for advanced nuclear-grade graphite, including uncertainty-aware calibration at high temperature.
- Bayesian calibration
- Materials degradation
- Mechanistic modeling
Surrogate models for multiphysics simulation
Leading work on computational methods that accelerate thermodynamically informed reactor and materials simulations without discarding the governing physics.
- Reduced-order models
- Machine learning
- Scalable simulation
Software
Code is part of the research argument.
The software layer is not secondary here. It is how the methods become testable, reusable, and useful to other researchers and engineering teams.
Framework
MOOSE
Multiphysics environment used across several strands of this work, from thermodynamics coupling to reactor chemistry applications.
Thermochemistry tooling
Thermochimica and related equilibrium methods
Computational thermodynamics infrastructure for chemical state estimation, phase equilibrium, and constitutive-property workflows.
Public profile
GitHub
Public code, contributions, and technical trail across scientific computing and open research software.
Publications
Recent work in public view.
For the complete and up-to-date publication record, visit Google Scholar.
A methodology for decay heat characterization in molten salt reactors
Decay heat characterization for molten salt reactor concepts with power density, humidity, and air ingress as uncertain parameters
Bayesian calibration of irradiated graphite property models under high temperatures
Coupled neutronics, thermochemistry, corrosion modeling and sensitivity analyses for isotopic evolution in molten salt reactors
Trajectory
An international path through mechanics, nuclear engineering, and computational science.
Canada
Doctorate in modelling and computational science
Doctoral research at Ontario Tech University focused on algorithms for thermochemical-equilibrium and MOOSE-based solver Yellowjacket.
Italy
Master's in nuclear engineering
Research at Politecnico di Milano included computational modeling of helium bubble reactivity feedback in molten-salt fast reactor systems.
India
Bachelor's in mechanical engineering
Undergraduate training at Dr. A.P.J. Abdul Kalam Technical Univeristy with capstone project on CFD modeling of exhaust manifold to improve internal combustion engine efficiency.
United States
Computational scientist at Idaho National Laboratory
Current work spans reactor chemistry, advanced materials, surrogate methods, and multiphysics software for nuclear applications.
Connect
Open to technical conversations that go beyond surface-level AI and modeling talk.
The clearest routes in are public: research profile, code, and professional network.