activity
20182026
most citedAnalysis of trends in experimental observables and reconstruction of the implosion dynamics for direct-drive cryogenic targets on OMEGA

26 citations · 49 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction

Xiang Zhang, Varchas Gopalaswamy, Rahman Ejaz +2

Inertial confinement fusion (ICF) is a leading pathway toward clean energy, but each shot at the National Ignition Facility costs on the order of one million dollars, making accura…

physics.plasm-ph2026

A Hybrid Scheme to Achieve Highest Implosion Performance on the OMEGA Laser

P. S. Farmakis, L. Ceurvorst, V. Gopalaswamy +5

Merging direct and indirect-drive has long been viewed as an optimal hybrid laser-fusion scheme that combines the uniformity of x rays with the efficiency of direct illumination. W…

cs.LG2026

Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications

Ricardo Luna Gutierrez, Sahand Ghorbanpour, Ejaz Rahman +6

Inertial Confinement Fusion (ICF) holds transformative promise for sustainable, near-limitless clean energy, yet remains constrained by prohibitively high costs and limited experim…

cs.LG2026

BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH

Rahman Ejaz, Varchas Gopalaswamy, Ricardo Luna +5

Bayesian optimization (BO) has for sequential optimization of expensive black-box functions demonstrated practicality and effectiveness in many real-world settings. Meta-Bayesian o…

physics.plasm-ph2024★ 3 cited

Distortions in Charged-Particle Images of Laser Direct-Drive Inertial Confinement Fusion Implosions

P. V. Heuer, J. L. Peebles, J. Kunimune +17

Energetic charged particles generated by inertial confinement fusion (ICF) implosions encode information about the spatial morphology of the hot-spot and dense fuel during the time…

cs.LG2024

Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?

Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti +2

The domain of laser fusion presents a unique and challenging predictive modeling application landscape for machine learning methods due to high problem complexity and limited train…

physics.plasm-ph2019★ 20 cited

Neutron backscatter edge: A measure of the hydrodynamic properties of the dense DT fuel at stagnation in ICF experiments

Aidan J. Crilly, Brian D. Appelbe, Owen M. Mannion +3

The kinematic lower bound for the single scattering of neutrons produced in DT fusion reactions produces a backscatter edge in the measured neutron spectrum. The energy spectrum of…

physics.plasm-ph2018★ 26 cited

Analysis of trends in experimental observables and reconstruction of the implosion dynamics for direct-drive cryogenic targets on OMEGA

A. Bose, R. Betti, D. Mangino +22

This paper describes a technique for identifying trends in performance degradation for inertial confinement fusion implosion experiments. It is based on reconstruction of the implo…