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A Constraint–Relaxation Energy Model: Interaction-Dependent Emergence of Energy from Structured Information

Authors: Nickolas Patrick Joseph Schoff;

A Constraint–Relaxation Energy Model: Interaction-Dependent Emergence of Energy from Structured Information

Abstract

Abstract This paper presents the Constraint–Relaxation Energy Model (CREM), a theoretical framework proposing that energy is an emergent consequence of imposing and relaxing constraints on an underlying phase space of possible states. Building on established principles from thermodynamics, information theory, and systems science, CREM reframes energy as the release of compressed geometric and informational relationships rather than a primitive substance. The model integrates feedback, coherence, and constraint geometry as necessary conditions for stable energy storage and release. Speculative extensions are explicitly delineated from established physics, positioning CREM as a unifying interpretive framework rather than a claim of new empirical phenomena. [2nd Paper] Abstract This paper extends the Constraint–Relaxation Energy Model (CREM) by (a) identifying the minimum new physics that would be required to move beyond currently known energy-constraint regimes, and (b) formalizing a Constraint Density Limit (CDL) analogous to established means such as energy density, stress–energy bounds, and information-theoretic limits. CREM frames energy as the release of compressed geometric and informational relationships generated by imposed constraints on a phase space of possible states. Building on thermodynamics, information theory, and Unified Consciousness Substrate Theory (UCST), this work distinguishes rigorously between established physics, speculative but coherent extensions, and currently unknown coupling mechanisms. The resulting framework preserves conservation laws while opening a principled research space for deeper substrate interactions without invoking free-energy or ontological violations.

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Keywords

FOS: Computer and information sciences, Information Science/methods, Electric energy, Renewable energy, Quantum physics, Nuclear physics, Information Theory, Information Science/standards, Information Science/ethics, Information Science/instrumentation, Conventional energy, Information Science/statistics & numerical data, Information Science/legislation & jurisprudence, Solar energy, Energy utilisation, Information Science, Solar physics, Computer and information sciences, Energy, Ontology, Physics, Particle physics, Energy management, Energy industry, Information Theory/history, Energy process, Energy conversion, Quantum field theory, Mathematical physics, Physics/methods, Systems theory, Information Science/legislation & jurisprudence, Information Science/organization & administration, Information Science/history, Theoretical physics, Energy technology, Information theory, Information science, Systems Theory, Information Science/classification, Energy balance, Cell (energy), Physics/instrumentation, Hydroelectric energy, Geothermal energy, Atomic physics, Plasma physics, Energy market, Information Science/economics, Heat (physics), Information Science/trends, Physics/education, Physics/standards, Information Science/education, Laser physics, Information Science/statistics & numerical data, Gene Ontology, Transport (physics), Mesoscopic physics, Constraints, Energy Intake, Constraint-First, Health Physics, Information Science/organization & administration

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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
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