arXiv (All)
open access
Fractional reversible chemical kinetics: Time-Driven Monte Carlo method and application to enzyme conformational dynamics
In this work, we present a fractional framework for reversible two-state chemical kinetics derived from the Continuous-Time Random Walk (CTRW) formalism with Mittag-Leffler waiting-time distributions. This derivation provides a microscopic basis for the fractional kinetic equations governed by the C
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
- Error attribution in gradient random walk methods for parabolic equations#1143882
- GETD Methods for Time-Space Fractional Diffusion Models#280714
- Unified description of random motions and generalized Fokker-Planck equations#1104623
- Geometric formulation of state-dependent Langevin dynamics using scalar free energy#1056359
- Scaling of Long-Range Loop-Erased Random Walks#1198890
Record · ID 1456475
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