arXiv (All)
open access
FLUCS: a modular GPU-native framework for fluid and plasma turbulence
We present FLUCS, an open-source framework for solving systems of partial differential equations efficiently on graphics processing units (GPUs), targeting models of fluid and plasma turbulence. It comprises a set of numerical solvers specialised for a well-defined class of problems and independentl
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
- MGKDB: An IMAS-aligned multicode gyrokinetic simulation database for reproducible fusion turbulence modeling and data-driven analysis#925495
- Machine Learning Integration in Computational Fluid Dynamics for Turbulence Modeling#1492809
- Goal-Oriented Weighting of Reynolds-Stress Data for Learning Turbulence Models in Complex Flows#1105595
- GRADSOLVE: fast exact gradients for ODE ensembles on GPUs#924992
- GRADSOLVE: fast exact gradients for ODE ensembles on GPUs#920758
Record · ID 1533646
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