Research Areas
Systems Integration, Diagnostics, and Controls
Systems Integration, Diagnostics, and Controls
GOALS
- Develop sophisticated, high fidelity plant design tools
- Develop optimized design options for:
- LD-FIRST — Integrated physics demonstrator
- FPP — Fusion Pilot Plant
- FOAK — First of a Kind
- NOAK — Nth of a Kind
OVERVIEW: Integrating complex fusion subsystems—drivers, targets, chambers, fuel systems, controls, and more—into a coherent and functional power plant is a challenge. Systems-level design, control architecture, real-time monitoring, and failure recovery strategies are needed to ensure reliability, maintainability, and performance. This will also require a suite of diagnostic tools that can withstand the extreme environment of a fusion power plant while capturing actionable data from rapidly repeated fusion yields.
Known Challenges
Accurate Costing and Risk Assessment
Self-consistent integrated plant design tool with cost model for parameter space exploration and cost drivers
Highly Complex System
Full systems model with high fidelity in key components for start-up, operation, and scenario testing, including:
- Implosion modeling
- Laser driver
- Fuel cycle
Large Parameter Space
Machine learning surrogates and artificial intelligence-driven accelerators needed to enable large parameter studies and optimizations including:
- Driver energy
- Rep rate
- Chamber size
Resources
- Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies, Proc. Natl. Acad. Sci. U.S.A. 117 (18) 9741-9746 (2020).
- Latent Space Mapping: Revolutionizing Predictive Models for Divertor Plasma Detachment Control, Phys. Plasmas 32, 062508 (2025).
- 3D Reconstruction of an Inertial-Confinement Fusion Implosion with Neural Networks Using Multiple Heterogeneous Data Sources, Rev. Sci. Instrum. 95, 073506 (2024).




