Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
Abstract
The achievement of practical fusion energy remains one of the most pressing unsolved scientific challenges, with immense implications for carbon-free power. A critical factor in the success of Inertial Confinement Fusion (ICF) is the design of a Laser Pulse Shape (LP) that can optimally drive implosions under stringent physical constraints. Traditional LP design relies on computationally expensive simulations and manual iterative refinement. We introduce the ICF Laser Pulse Shape Design System (LPDS), a generative inverse modeling framework that maps desired outcomes and target pellet configurations directly to optimized LPs. Crucially, we design a multi-objective loss function to ensure the generated LPs satisfy fundamental physical constraints and experimental requirements. Furthermore, we present constraint-conditioning, inpainting, and gradient-based LP editing mechanisms for fine-grained control over specific pulse characteristics during generation. Moreover, we study the transfer of our framework to a limited set of real experimental shots. Our method establishes a data-driven inverse design framework for LP design in ICF, contributing to the advancement of practical and sustainable fusion energy.
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BibTeX
@misc{gutierrez2026inverse,
title = {{Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion}},
author = {Ricardo Luna Gutierrez and Vineet Gundecha and Rahman Ejaz and Varchas Gopalaswamy and Riccardo Betti and Sahand Ghorbanpour and Aarne Lees and Soumyendu Sarkar},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.33096},
eprint = {2610.33096},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.33096},
}
RIS
TY - UNPB
TI - Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
AU - Ricardo Luna Gutierrez
AU - Vineet Gundecha
AU - Rahman Ejaz
AU - Varchas Gopalaswamy
AU - Riccardo Betti
AU - Sahand Ghorbanpour
AU - Aarne Lees
AU - Soumyendu Sarkar
PY - 2026
DA - 2026/10/22
PB - arXiv
DO - 10.48550/arxiv.2610.33096
UR - https://arxiv.org/abs/2610.33096
AB - The achievement of practical fusion energy remains one of the most pressing unsolved scientific challenges, with immense implications for carbon-free power. A critical factor in the success of Inertial Confinement Fusion (ICF) is the design of a Laser Pulse Shape (LP) that can optimally drive implosions under stringent physical constraints. Traditional LP design relies on computationally expensive simulations and manual iterative refinement. We introduce the ICF Laser Pulse Shape Design System (LPDS), a generative inverse modeling framework that maps desired outcomes and target pellet configurations directly to optimized LPs. Crucially, we design a multi-objective loss function to ensure the generated LPs satisfy fundamental physical constraints and experimental requirements. Furthermore, we present constraint-conditioning, inpainting, and gradient-based LP editing mechanisms for fine-grained control over specific pulse characteristics during generation. Moreover, we study the transfer of our framework to a limited set of real experimental shots. Our method establishes a data-driven inverse design framework for LP design in ICF, contributing to the advancement of practical and sustainable fusion energy.
ER -