Shobhan Roy
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Projects

Selected computational physics, HPC, and scientific machine learning case studies.

Each case study follows the practical arc a technical reader usually wants: problem, approach, scale, validation, and artifact.

SCIMITAR3D solver development

Sharp-interface, multi-material reactive-flow framework. WENO + ghost-fluid integration cuts the grid-refinement overhead for equivalent accuracy by roughly 2.5–3×.

Open project

Production HPC campaigns

Microstructure-resolved mesoscale simulations on DoD HPC systems — 140M cells, 7,000 cores, ~2.8M CPU-hours per campaign — sized so hotspot statistics actually converge.

Open project

HEDS framework

Diffusion / U-Net / CycleGAN microstructure generation paired with high-fidelity simulation to study damage–sensitivity behavior under shock loading.

Open project

Physics-aware ML benchmarks

DNS ground truth and physics-consistent evaluation for PARC and D-PARC neural surrogates of shocked energetic-material response.

Open project

Tools and stack

Fortran 90 / C++ / Python
MPI · Slurm / PBS · DoD HPC
PyTorch · PARCtorch · TensorFlow
ParaView · Tecplot · MATLAB

See also

Research for the scientific questions and methodological frame that shape these projects.

Copyright 2026 Shobhan Roy

Last updated May 3, 2026

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