The CL5D Hybrid Model v2.1 provides a deterministic computational framework utilizing Nyquist granularity (N >= 400) to bridge in-silico simulations and in-vivo biological validation.
Describes a deterministic autonomous computational framework for analyzing complex phase transitions in high-energy and biological systems.
Absolute Event Rate: 0% vs 0%
This repository contains the v2. 1 implementation of the CL5D Hybrid Model, a deterministic autonomous framework designed for analyzing complex phase transitions in high-energy and biological systems. Key Features included in this version: At, Ab, Ex, T, Ct Agents: Multi-agent convergence logic for Cₙ scoring. Phase II Evolution-Decay Model: Benchmarking and conjugate state analysis. Phase III/IV Stubs: Theoretical singularity and Quantum Tunneling (W=1. 0) logic for regenerative biology and cell-line recovery. Nyquist Granularity Constant: N 400 regions for micro-event capture accuracy. This computational engine is developed as part of Project Chaitanya Shakti for the MeitY (Nano Division) research proposal. It provides a bridge between In-silico simulations and In-vivo biological validation.
Mrinmoy Chakraborty (Fri,) reported a other. The CL5D Hybrid Model v2.1 provides a deterministic computational framework utilizing Nyquist granularity (N >= 400) to bridge in-silico simulations and in-vivo biological validation.