mlsanityData to 7 Oct 2026

Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy

arXiv 2510.17830 ↗First posted 2 Oct 2025physics.app-ph cs.AIcited by 1

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Abstract (arXiv)

Inertial fusion energy promises nearly unlimited, clean power if it can be achieved. However, the design and engineering of fusion systems requires controlling and manipulating matter at extreme energies and timescales; the shock physics and radiation transport governing the physical behavior under these conditions are complex requiring the development, calibration, and use of predictive multiphysics codes to navigate the highly nonlinear and multi-faceted design landscape. We hypothesize that artificial intelligence reasoning models can be combined with physics codes and emulators to autonomously design fusion fuel capsules. In this article, we construct a multi-agent system where natural language is utilized to explore the complex physics regimes around fusion energy. The agentic system is capable of executing a high-order multiphysics inertial fusion computational code. We demonstrate the capacity of the multi-agent design assistant to translate natural-language design goals into simulation execution, physics-emulator construction, analysis, and iterative refinement of capsule-geometry parameters, ultimately achieving simulated ignition within the computational design workflow.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 34 of its 76 references that are in the map. First posted on arXiv 2 Oct 2025.

Builds on

34 of 76 references.

References · 34

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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systemscited by 1

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