Transition Preference Fields: Exposing Irreversible Geometry in Nonequilibrium Dynamics

Transition Preference Fields (TPF) detect irreversible geometry in nonequilibrium dynamics, resolving entropy degeneracy. The study introduces the Irreversibility Geometry Phase Transition (IGPT) and shows pre-behavioral signals for emergent intelligence in AI models. Includes figures generated from Python code, main text, and references. Intended for open scientific use with proper attribution to the author. Note: results based on constructed toy examples for theoretical illustration.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-02
DOI
https://doi.org/10.5281/zenodo.18134293
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

Transition Preference Fields: Exposing Irreversible Geometry in Nonequilibrium Dynamics

Inna Alieksieienko
Zenodo (CERN European Organization for Nuclear Research)
Advanced Thermodynamics and Statistical Mechanics
article

Transition Preference Fields: Exposing Irreversible Geometry in Nonequilibrium Dynamics

Inna Alieksieienko
article en

Abstract

Transition Preference Fields (TPF) detect irreversible geometry in nonequilibrium dynamics, resolving entropy degeneracy. The study introduces the Irreversibility Geometry Phase Transition (IGPT) and shows pre-behavioral signals for emergent intelligence in AI models. Includes figures generated from Python code, main text, and references. Intended for open scientific use with proper attribution to the author. Note: results based on constructed toy examples for theoretical illustration.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 97%
Advanced Thermodynamics and Statistical Mechanics
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Transition Preference Fields: Exposing Irreversible Geometry in Nonequilibrium Dynamics — Inna Alieksieienko · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS