arXiv (All)
open access
Parameter Identification in Reaction-Diffusion-Chemotaxis Systems from Single Turing Pattern Amplitudes
Turing patterns encode key information about biological mechanisms, yet traditional inverse problems rely on non-biological data like boundary measurements, neglecting the patterns themselves. We introduce a new direction that directly uses the amplitudes of Turing patterns for parameter identificat
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
- Observability of Turing Machines: a refinement of the theory of computation#766885
- Differentiating Bisimulation Metrics: A Framework for Parametric Markov Chain Fitting via Bicausal Optimal Transport#1141283
- Evolution and Design Governing Signal Precision and Amplification in a Bacterial Chemosensory Pathway#1134057
- Global existence and uniqueness analysis of cross-diffusion multispecies chemotaxis system with volume-filling#1083995
- Turing, Kant and the unknown God#93463
Record · ID 998012
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