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February 5, 20260 citationsOpen Access

Theory of Temperature-Dependent Network Evolution in Composite Materials

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SPS. N. PRAJAPATICentral Glass and Ceramic Research Institute

Key Points

  • The aim is to develop a theory for the temperature-dependent evolution of bonding networks in composite materials based on first principles.
  • Derived results from first principles of statistical mechanics and graph theory
  • Established a comprehensive framework for thermal cycling of networks
  • Proved existence and uniqueness theorems for evolution equations
  • Performed renormalization group analysis to derive scaling relations
  • Identified four topological phases with computable invariants
  • Developed a rigorous foundation for predicting composite behavior under temperature changes
  • Established universal bounds on network properties
  • Connected microscopic connectivity to macroscopic mechanical responses

Abstract

We present a mathematical theory describing the temperature-dependent evolution of bonding networks in composite materials. The theory is formulated without phenomenological assumptions, deriving all results from first principles of statistical mechanics, graph theory, and continuum percolation. We define a complete mathematical framework for describing network evolution under thermal cycling, prove existence and uniqueness theorems for the evolution equations, derive exact scaling relations from renormalization group analysis, and establish universal bounds on network properties. The theory introduces no empirical parameters—all quantities are derived from fundamental constants and material-specific but measurable inputs. We prove that bonding networks evolve through four distinct topological phases characterized by computable invariants, and derive exact relations connecting microscopic connectivity to macroscopic mechanical response. This work provides a rigorous foundation for predicting and designing the temperature-dependent behavior of composite material systems.

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Cite This Study

S. N. PRAJAPATI (2026) studied this question.

synapsesocial.com/papers/698435f0f1d9ada3c1fb55cbhttps://doi.org/10.5281/zenodo.18465647
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