arXiv (All)
open access
PQLS: A Quasilinear Gyrokinetic Transport Solver with a Bayesian Saturation-Rule Closure
Quasilinear models make gyrokinetic turbulent-transport predictions sufficiently fast for integrated modelling, but their predictive capability is limited by two factors: the physical and geometrical applicability of the linear solver, and the validity of the saturation rule used to close the model.
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
- PTL-Diffusion: Manifold-Aware Diffusion with Periodic Terminal Laws#267679
- Grid-Free Monte Carlo for Time-Dependent Diffusion#1000264
- Physical knowledge on historical data matters more than enforcing physical constraints on the forecast#1014918
- It’s Déjà Vu All Over Again: A Classical Interpretation of Syntropy and Precognitive Interdiction Based on Wheeler-Feynman’s Absorber Theory#102253
- Exponential Smoothing for Time Series of Random Objects#1034042
Record · ID 1077265
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