Energy Density Flow Theory (EDFT):A Gradient-Driven, Process-Based Framework Across Physical and Engineering Systems

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Authors: amogh amogh
Cited by: 0

Abstract

Energy Density Flow Theory (EDFT) is a process-based framework in which all physical and engineered systems are described as continuous, gradient-driven, disturbance-handling structures operating under irreversible time.EDFT replaces force-based, equilibrium-centered, and probability-dependent descriptions with a unified disturbance–gradient–relaxation grammar. Motion, stability, failure, radiation, tunneling, spectra, time dilation, and large-scale dynamics emerge from local gradient mismatch and finite relaxation without invoking particles, spacetime curvature, equilibrium states, or stochastic postulates.This archive contains the complete EDFT framework, including foundational field equations, micro-scale closure, deterministic derivations of traditionally quantum and relativistic phenomena, numerical consistency across microphysical scales, and a cross-domain process-based failure, monitoring, and maintenance framework spanning civil, mechanical, control, energy, and electronic systems.A final Read-Me ledger is included to enable reconstruction of the framework by human or AI participants without reliance on the originator’s intuition.EDFT is deterministic at every instant yet non-predictive, continuous yet non-differentiable, and applies uniformly across scales without parameter fitting or domain-specific calibration.

Fields of Study & Subjects

Relativity and Gravitational Theory Advanced Mathematical Theories and Applications Advanced Thermodynamics and Statistical Mechanics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026
Language
EN
Document type
Preprint