Author

Carmelo Gonzales

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#artificial intelligence Preprint Oct 2026

Efficient Neural Surrogates for Linear Radiation Transport on the Lattice and Hohlraum benchmarks

Linear radiation transport equations (RTEs) form the simulation foundations underpinning design and analysis tasks in nuclear engineering, inertial confinement fusion, medical imaging, and astrophysics, but resolving the high-dimensional phase space at engineering fidelity remains expensive enough that outer-loop workf...

Carmelo Gonzales, Steffen Schotthöfer, Cory D. Hauck · 0 citations

#artificial intelligence Preprint Sep 2026

Predictive Uncertainty for Neural CAE Surrogates

This work investigates how established uncertainty quantification approaches behave when adapted to geometry-conditioned neural surrogates and examines whether predicted uncertainties have credible magnitudes, identify locations with larger prediction errors, respond to unfamiliar inputs, and remain informative for der...

Kaustubh Tangsali, M. A. Nabian, Kelvin Lee et al. · 0 citations