82

Papers

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This review synthesizes recent modeling approaches for coupled heat and mass transfer, highlighting that fractional-order (memory-effect) models can enhance predicted velocity by up to 20% and that multi-speed lattice Boltzmann methods achieve under 1.5% error across very different heat transport regimes. Machine learning surrogates trained on these simulations reach near-perfect temperature field accuracy (R² > 0.9996). For fusion, the most plausible application is accelerating divertor cooling channel design, where rapid thermal surrogate models could replace expensive phonon-transport simulations — though the paper is an unreviewed Zenodo self-deposit with no original data, so conclusions should be treated cautiously.

██████████ 0.4 divertor-thermal Peer-reviewed

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A near-duplicate Zenodo deposit of the heat and mass transfer review above, reporting the same headline figures: fractional-order velocity enhancements up to 20%, lattice Boltzmann errors under 1.5%, and ML temperature predictions at R² > 0.9996. The extremely small file size (198.9 kB) and absence of a documented literature search protocol raise concerns about depth and completeness. Its relevance to divertor thermal management rests on the same speculative connection as its companion deposit.

██████████ 0.4 divertor-thermal Peer-reviewed

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This peer-reviewed study directly compares high-order discontinuous Galerkin methods (polynomial orders p=7, 11) against conventional finite-volume schemes for large-eddy simulations of turbulent convection, finding that the higher-order approach achieves finer effective resolution at lower or comparable computational cost. The test case is Rayleigh-Bénard convection, a canonical problem structurally similar to edge plasma turbulence in tokamaks. Better turbulence solvers matter for fusion because edge instabilities (e.g. ELMs) are governed by the same class of fluid equations, and more accurate, cheaper simulations would improve predictive plasma boundary models.

██████████ 0.3 turbulence-modeling Peer-reviewed

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This study models a magnetized nanofluid (Al₂O₃/water) flowing over a heated plate under a perpendicular magnetic field, finding that Lorentz forces oppose flow while thermal radiation and viscous dissipation (Eckert number effects) substantially raise temperatures. An artificial neural network trained with the Levenberg-Marquardt algorithm reproduces the numerical solutions with high fidelity. The magnetic-field-coupled heat transfer physics are loosely analogous to coolant behavior near HTS magnet coils, but the geometry and conditions (laminar 2D stretching plate) are far removed from tokamak engineering, limiting direct applicability.

██████████ 0.3 hts-magnets Peer-reviewed

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This is a software archive deposit for a Julia package that performs stability analysis of rotating, stratified fluid flows — the class of dynamics relevant to plasma rotation and zonal flow formation in tokamaks. Version 4.0.1 introduces parallel row-distributed computation and an adaptive solver scheduling fix. As a publicly available, open-source tool with a traceable GitHub history, it could be repurposed for fusion-relevant stability calculations, though no fusion application is demonstrated and no accompanying research paper is provided.

██████████ 0.3 turbulence-modeling Peer-reviewed

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This Zenodo deposit archives a Python implementation of the Rock'n'Roll particle resuspension model, which predicts how particles detach from surfaces under time-varying shear stress using statistical distributions of adhesion forces and particle sizes. In a fusion context, the model's handling of unsteady shear could conceptually be adapted to describe material erosion at plasma-facing surfaces during transient events like ELM bursts. However, the deposit contains no validation against fusion-relevant conditions and lacks basic documentation, making direct application speculative.

██████████ 0.3 plasma-wall Peer-reviewed

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This paper proposes a non-standard 'Space-Phase (SP3) theory' reinterpretation of superconductivity, arguing that zero resistance arises from a 'coherent lock-in' state rather than conventional Cooper pairing. No mathematical derivations, experimental data, or testable predictions are provided — the argument is entirely qualitative analogy. It is assigned to the HTS magnets roadblock by keyword overlap, but it offers nothing actionable for fusion magnet development; the framework has no grounding in established condensed matter physics.

██████████ 0.2 hts-magnets Peer-reviewed

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A companion or duplicate Zenodo deposit to the SP3 superconductivity paper above, making the same qualitative claims about 'coherent lock-in' and 'dissipative transport' in a non-standard framework. Like its companion, it contains no equations, data, or verifiable predictions. Its relevance to HTS magnets for fusion is nominal and based solely on keyword matching rather than scientific content.

██████████ 0.2 hts-magnets Peer-reviewed

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This paper applies the same 'Space-Phase (SP3) theory' framework to reinterpret photon absorption as a transition between two states of a hypothetical space-phase medium, rather than a conventional atomic transition. No mathematical formalism, empirical data, or testable predictions are provided. Its weak assignment to the HTS magnets roadblock reflects keyword proximity only; the content has no identifiable relevance to fusion energy research.

██████████ 0.1 hts-magnets Peer-reviewed

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A second Zenodo deposit archiving the same Rock'n'Roll resuspension Python code (companion to doi:10.5281/zenodo.20549228), with the same adhesion-force and particle-size discretization approach based on Reeks-Hall (2001) and Biasi (2001). The duplicate deposit adds no new scientific content. Its tangential relevance to plasma-wall interactions is unchanged from the companion record — a speculative conceptual bridge to ELM-driven erosion, not a demonstrated application.

██████████ 0.1 plasma-wall Peer-reviewed

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