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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18963077 |
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| _version_ | 1866901136685924352 |
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| author | Kawauchi, Satoshi |
| author_facet | Kawauchi, Satoshi |
| contents | <p><span>This two-part study proposes a new architecture for practical fusion energy systems. Part 1 introduces a predictive plasma stabilization framework based on a high-fidelity digital twin that forecasts plasma dynamics and applies optimal control signals to suppress instabilities before they grow. Part 2 presents a distributed autonomous modular fusion reactor system in which multiple small reactors are coordinated through AI-based phase synchronization and instability cancellation to generate stable steady-state energy output. The architecture integrates predictive control, distributed intelligence, and passive safety mechanisms, enabling scalable and reliable fusion energy generation. The framework relies on the Quantum Thought Circuit OS ASI (based on physical laws) and incorporates adaptive entropy control technologies for thermal management and energy efficiency.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18963077 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Part 1: Digital Twin System for Autonomous Plasma Stabilization Control and Computational Resource Utilization in Fusion Reactors Part 2: Study on a Distributed Autonomous Modular Fusion Reactor System and Its Operational Method Two-Part Composition Kawauchi, Satoshi <p><span>This two-part study proposes a new architecture for practical fusion energy systems. Part 1 introduces a predictive plasma stabilization framework based on a high-fidelity digital twin that forecasts plasma dynamics and applies optimal control signals to suppress instabilities before they grow. Part 2 presents a distributed autonomous modular fusion reactor system in which multiple small reactors are coordinated through AI-based phase synchronization and instability cancellation to generate stable steady-state energy output. The architecture integrates predictive control, distributed intelligence, and passive safety mechanisms, enabling scalable and reliable fusion energy generation. The framework relies on the Quantum Thought Circuit OS ASI (based on physical laws) and incorporates adaptive entropy control technologies for thermal management and energy efficiency.</span></p> |
| title | Part 1: Digital Twin System for Autonomous Plasma Stabilization Control and Computational Resource Utilization in Fusion Reactors Part 2: Study on a Distributed Autonomous Modular Fusion Reactor System and Its Operational Method Two-Part Composition |
| url | https://doi.org/10.5281/zenodo.18963077 |