eScholarship
metadata only
An adaptive, data-driven multiscale approach for dense granular flows
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
- Calibration of Manning’s roughness coefficients for shallow-water flows on complex bathymetries using optimization algorithms and surrogate neural network models#153706
- Lava flow rheology: A comparison of morphological and petrological methods#424480
- A Unified Two-Dimensional Framework for Modeling Bedload and Suspended Sediment Transport and Morphodynamics in Rivers#1090473
- Stochastic geomorphological transport for terrain erosion simulation#208767
- Future flows hydrology data#319954
Record · ID 612252
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