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ZENODO
Image . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Image . 2025
License: CC BY
Data sources: Datacite
ZENODO
Image . 2025
License: CC BY
Data sources: Datacite
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Exergetic Optimization and the Fifth Law of Thermodynamics

Authors: Gómez Montoya, Juan Pablo;

Exergetic Optimization and the Fifth Law of Thermodynamics

Abstract

This dataset supports the research article "Exergetic Optimization and the Fifth Law of Thermodynamics: The Path to Intelligence and Cosmic Evolution".It contains images generated during iterative analysis and model validation using GPT and DeepSeek. Structure: 1. AI TRAINING - PRE AI TRAINING: Initial iterations before developing the Fifth Law model. - AI TRAINING 5TH LAW MODEL: Iterations focused on building the Fifth Law model. - EXERGETIC SYSTEM MODELATION: Analysis and simulations related to exergy systems. 2. FINAL WORK - GENERAL EQUATIONS: Analysis of fundamental equations and their derivation. - EXERGY SYSTEMS EQUATIONS: Application of equations to exergy systems. Each image file is named according to the iteration process (e.g., GPT1, DeepSeek2). Please refer to the research article for detailed descriptions of each image. For further inquiries, please contact [jgomezmo@utp.edu.pe, juanpablogmontoya@gmail.com].

Related Organizations
Keywords

Fifth Law of Thermodynamics, Exergetic Optimization, Entropy and Information Structure, Quantum Coherence, Intelligence and Self-Organization.

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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