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Current Research Project

SPARC research projects span multiple disciplines, united by the use of advanced computation, modeling, and AI to address scientific and engineering challenges.

List of current research projects:

Materials: Computational Materials Science
Neural Representations for Advanced Radiographic Reconstructions
Organic Scintillator Based System for Plutonium Assay in Separation Processes
Artificial Intelligence: Analysis tools for LANL’s CMF simulation workflows
Artificial Intelligence: Applications to Laser Plasma Interaction
Advance Algorithms: Neutron Transport
Materials: Prototype Machining and Delivery
Advance Algorithms: Kinetic to Continuum Hydro Transition
Advanced Algorithms for Multiphysics Modeling: Multi-fidelity Surrogates for Fast Prediction and Design
Physics Models: HEDP
Transition Modeling for Multi-Fluid Mixing
Modeling and experimental verification of polymer-bonded crystals: A biphasic LS-DEM approach
Advanced Algorithms for Multiphysics Modeling: Novel Methods for Multimaterial Hydrodynamics
Artificial Intelligence: Foundation models and agentic frameworks for computational materials
Advanced Algorithms for Multiphysics Modeling: Tensor-based Solvers for Thermal Transport with AMR
Advanced Algorithms for Multiphysics Modeling: Efficient and Accurate Methods for Charged Particle Transport
AI assisted discovery of new quantum states emerged in topological flatbands
Codesign: Efficient computation
FUSE collaboration
Mixed Precision Methods for DFT-FE
Materials: Computational Materials Science
Intelligence search for materials inverse design
Chemistry-informed modeling of critical material separation
AI-ML-Conducive MCNP Output
Molecular Modeling of PFAS Properties
ArchEvolve – An evolutionary agentic AI system for deep co-design
Transport Coefficients in Dense Plasmas
An Autonomous AI Framework for Closed-Loop Nuclear Fuel Qualification
Hierarchical, Extremely Reduced-order, Multiscale, Exascale Simulator (HERMES)
Physics Models: HEDP and Optimal Experimental Design