arXiv (All)
open access
Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders
State estimation in magnetohydrodynamic flows is critical for real-time monitoring of liquid metal blankets in tokamak fusion reactors. Due to the multiphysics nature of these phenomena, high-fidelity simulations are computationally prohibitive for real-time applications. This work investigates a da
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders#788378
- PHASE: Multi-Regime Modeling of Incompressible Magnetohydrodynamics#1141924
- The Fusion Equilibrium Challenge: Inferring Magnetic Geometry Without Magnetic Diagnostics#822179
- Dense Dump Codec: Error-Controlled, Random-Access Compression of GRMHD Time Series for Slow-Light Radiative Transfer#1062214
- FusionMMT: A Unified Multimodal and Multitask Learning Framework for Nuclear Fusion#1061998
Record · ID 792378
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive