Abstract This volume presents a comprehensive reimagining of thermodynamics through the ICQER (Informational Constraints, Quantum Entanglement, and Relational Networks) framework, establishing thermodynamics as a manifestation of constraint propagation within informational networks rather than merely a theory of energy transfer. Classical thermodynamic laws are reinterpreted as emergent properties of underlying informational architectures, with entropy reframed as a measure of informational freedom—the space of permissible configurations across networked events. The central innovation of this work is the introduction of informational engines: systems that extract work, order, or structure directly from the flow and processing of information, operating under constraint landscapes rather than solely energy gradients. We demonstrate how non-equilibrium systems, feedback mechanisms, and quantum correlations function as engines of constraint-driven work, converting informational potential into directed outcomes. The volume systematically develops the coupling between energy and information, establishing quantitative relationships between Shannon information and thermodynamic potentials. Quantum thermodynamics is incorporated through the lens of entanglement and coherence as informational resources, while entropy management and control are presented as practical implementations of constraint orchestration. Multi-scale emergent phenomena are shown to arise from the collective propagation of local constraints, generating complexity and adaptive order that constitute forms of work. Applications span nanoscale molecular machines, quantum heat engines, AI-driven energy systems, and sustainable technologies. This unified informational thermodynamics framework bridges physics, computation, and emergent phenomena, positioning information as a fundamental resource for work, organization, and the emergence of complexity across all scales.
Radhakrishnan Jayaraman (Thu,) studied this question.