Digital Circuitality II: A Thermodynamic Framework for Computational Systems

This paper establishes a rigorous thermodynamic framework for Digital Circuitality by introducing the Entropic Thermodynamic Coefficient (ETC), a unified metric integrating energy consumption, information entropy, and system coherence. By formally bridging Landauer’s principle and Shannon’s theory, the work offers a quantitative method to analyze and optimize the thermodynamic efficiency of computational systems. Verified “circuital” systems are shown to minimize ETC, achieving both energetic and informational coherence. The framework provides fundamental theorems, dimensional consistency, and concrete numerical examples, forming the physical foundation for energy-efficient, reliable computation. This contribution extends the paradigm shift initiated in Paper I, laying groundwork for future coherence and algebraic principles in computational thermodynamics.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-26
DOI
https://doi.org/10.5281/zenodo.17448474
Primary Topic
Irish and British Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Circuitality II: A Thermodynamic Framework for Computational Systems

Zenodo (CERN European Organization for Nuclear Research)
Irish and British Studies
article

Digital Circuitality II: A Thermodynamic Framework for Computational Systems

article en

Abstract

This paper establishes a rigorous thermodynamic framework for Digital Circuitality by introducing the Entropic Thermodynamic Coefficient (ETC), a unified metric integrating energy consumption, information entropy, and system coherence. By formally bridging Landauer’s principle and Shannon’s theory, the work offers a quantitative method to analyze and optimize the thermodynamic efficiency of computational systems. Verified “circuital” systems are shown to minimize ETC, achieving both energetic and informational coherence. The framework provides fundamental theorems, dimensional consistency, and concrete numerical examples, forming the physical foundation for energy-efficient, reliable computation. This contribution extends the paradigm shift initiated in Paper I, laying groundwork for future coherence and algebraic principles in computational thermodynamics.

Zenodo (CERN European Organization for Nuclear Research)
Universitat de Barcelona (ES)
Affordable and clean energy
Openalex Percentile: Top 35%
Irish and British Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.