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Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
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The Manassero Creation Framework (MCF) Deterministic Internal-State Modeling of Recovery, Regeneration, and Creation Processes in Coupled Creation–Degradation Systems

Authors: Manassero, Sebastian Héctor;

The Manassero Creation Framework (MCF) Deterministic Internal-State Modeling of Recovery, Regeneration, and Creation Processes in Coupled Creation–Degradation Systems

Abstract

This article provides a complete deterministic mathematical formalization of the Manassero Creation Framework (MCF). The framework models recovery, regeneration, and creation as internal state variables evolving under physically driven fluxes. MCF complements the Manassero Internal Degradation Framework (MIDF) and allows the modeling of systems where degradation, repair, recharge, or regeneration are dynamically coupled. The paper introduces state equations, closed-form solutions, stability conditions, and illustrative examples across multiple domains. No probabilistic variables or statistical fitting are used. The work is intended as a foundational reference for creation–degradation modeling, digital twins, and regenerative system analysis. LICENSE Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY-NC-ND 4.0) © 2026 Sebastián Héctor Manassero sebastianhectormanassero@gmail.com Manassero, S. H. (2026). State-Space Mathematical Formalization of Deterministic Creation–Degradation Systems A Compact Internal-State Theory for MIDF–MCF Dynamics Without Probabilistic Assumptions. Zenodo. https://doi.org/10.5281/zenodo.18474725

Keywords

MIDF, MCF, Manassero Creation Framework MCF Manassero law Creation–degradation systems Deterministic regeneration Internal state dynamics Recovery modeling Self-healing systems Recharge dynamics Lifecycle extension Predictive maintenance Digital twins Non-probabilistic reliability Coupled systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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