74

Papers

4/4

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This study uses a GPU-accelerated lattice Boltzmann method to simulate turbulent natural convection at Rayleigh numbers up to 10^11, showing that convective plume dynamics control second-order flow statistics and that increasing the Rayleigh number shifts energy distribution from horizontal to vertical. For fusion, the numerical methods developed here are directly applicable to divertor and breeding blanket cooling channel simulations, where high-Rayleigh-number turbulent convection governs heat removal. The GPU acceleration approach could reduce the wall-clock time of high-fidelity thermal-hydraulics codes used in reactor design.

██████████ 0.3 divertor-thermal Peer-reviewed

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This paper combines a classical boundary-value solver with a Bayesian neural network to predict heat and mass transfer in a viscoelastic nanofluid, quantifying that the Maxwell viscoelastic parameter raises wall friction by 5.82% while thermophoresis reduces the Nusselt number by 9.59%. The hybrid ML-numerical approach is methodologically relevant to fusion divertor modeling, where surrogate models are needed to speed up thermal-hydraulic design sweeps. However, the specific fluid system studied (blood-like nanofluid) has no direct fusion application.

██████████ 0.3 divertor-thermal Peer-reviewed

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Using the homotopy analysis method, this study models how a magnetic field (Lorentz drag) and viscous heating interact in a hybrid nanofluid flowing through a porous surface, finding that the MHD parameter thickens the velocity boundary layer while the Eckert number elevates temperatures. The local thermal non-equilibrium (LTNE) modeling framework applied here is the same class of approach used to study coolant behavior in fusion first-wall and blanket modules where solid and fluid phases are not in thermal equilibrium. The paper's direct relevance to HTS magnets or fusion hardware is limited to this methodological overlap.

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

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This theoretical study analyzes entropy production in a magnetically influenced peristaltic nanofluid channel, finding that reducing magnetic field strength decreases entropy generation and improves pumping efficiency, while Brownian motion raises interior temperatures and reduces nanoparticle concentration gradients. The entropy minimization framework is generically applicable to fusion coolant loop optimization, where irreversibility reduction in heat exchangers matters for plant efficiency. The specific geometry and fluid have no direct fusion relevance.

██████████ 0.2 divertor-thermal Peer-reviewed

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This Zenodo preprint proposes an alternative interpretive framework ('Space-Phase Physics') for reinterpreting particle collider data as evidence of transient organizational states in a conditioned medium rather than discovery of fundamental particles. No original data, equations, or testable predictions are provided, and the deep analysis flags it as low-confidence prose argumentation. It has no meaningful connection to fusion turbulence modeling or any fusion roadblock.

██████████ 0.1 turbulence-modeling Peer-reviewed

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This engineering paper derives nonlinear equations of motion for a gyrostatic satellite with an internal mass damper, showing that combined active gyrostatic torque and passive damping stabilizes nutation angle more efficiently than thruster-only approaches in resistive media. The control theory methods (angular momentum conservation, nonlinear stabilization) have generic applicability to rotating plasma control problems but no direct fusion relevance. It is the most-cited paper in today's set.

██████████ 0.1 turbulence-modeling 🔗 7 cited Peer-reviewed

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This finite element analysis study evaluates SF6 gas as a dielectric-coolant replacement for mineral oil in 25 kVA pole-mounted distribution transformers, finding that SF6 exceeds thermal limits at standard pressure but achieves regulatory compliance when tank pressure is raised to 100% or tank volume increased by 30%. SF6 is also used as an insulating gas in some high-voltage power supply systems for fusion facilities, giving this a very indirect engineering relevance. The study is simulation-only with a single transformer case and no experimental validation.

██████████ 0.1 divertor-thermal Peer-reviewed

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This theoretical preprint proposes that diamond nanomechanical resonators can host collective quantum coherence (ODLRO-like order) when the phonon coupling rate exceeds the loss rate (g/κ > 1), constructing a phase diagram for this regime. No experiments or simulations are performed, and the author explicitly flags numerical values as conditional pending ab-initio validation. There is no connection to fusion energy research.

██████████ 0.0 turbulence-modeling Peer-reviewed

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This low-confidence preprint proposes that the CaMn4O5 cluster in Photosystem II drives water-oxidation via a rotating quantum-coherent tunneling mode that shifts orientation across the S-state cycle. The deep analysis flags missing Hamiltonians, no decoherence timescales, and an incomplete manuscript. This paper has no relevance to nuclear fusion.

██████████ 0.0 plasma-wall Peer-reviewed

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This Zenodo deposit is a bilingual (Chinese-English) audiobook upload of a narrative book about the history of Monte Carlo methods, not a research paper. The deep analysis confirms there is no scientific methodology, no data, and nothing to reproduce. Its appearance in the fusion pipeline is a data quality issue; it should not be interpreted as a research signal.

██████████ 0.0 turbulence-modeling Peer-reviewed

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