SERM2 Technology: A Hypothesis for Deterministic Anomalous Heat Generation via Multifractal Entropy Reduction and its Methodological Validation

This work presents the SERM2 (Singular Entropy Reduction due to Multifractal) technology – a novel approach for deterministic control of anomalous heat effects. We formulate a core mathematical hypothesis based on conformal mapping of multifractal structures, predicting extreme temperature generation (T∼106−107 K) through geometric compression of phase space and entropy minimization. The initial hypothesis of a direct link between geometric complexity (h) and thermodynamic entropy (S) faces fundamental objections. We demonstrate the resolution of these objections by introducing a two-stage methodological validation: thermodynamic amplification via second-order phase transitions and deterministic control via laser-induced quantum measurement (LSPR/SERS). The research is protected by Russian Patent Application No. 2025116265 (filed June 11, 2025), with PCT filing planned within statutory deadlines. The technology enables transformative applications in compact energy generation, space propulsion, and medical isotope production.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-06
DOI
https://doi.org/10.5281/zenodo.17689386
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SERM2 Technology: A Hypothesis for Deterministic Anomalous Heat Generation via Multifractal Entropy Reduction and its Methodological Validation

Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
article

SERM2 Technology: A Hypothesis for Deterministic Anomalous Heat Generation via Multifractal Entropy Reduction and its Methodological Validation

article en

Abstract

This work presents the SERM2 (Singular Entropy Reduction due to Multifractal) technology – a novel approach for deterministic control of anomalous heat effects. We formulate a core mathematical hypothesis based on conformal mapping of multifractal structures, predicting extreme temperature generation (T∼106−107 K) through geometric compression of phase space and entropy minimization. The initial hypothesis of a direct link between geometric complexity (h) and thermodynamic entropy (S) faces fundamental objections. We demonstrate the resolution of these objections by introducing a two-stage methodological validation: thermodynamic amplification via second-order phase transitions and deterministic control via laser-induced quantum measurement (LSPR/SERS). The research is protected by Russian Patent Application No. 2025116265 (filed June 11, 2025), with PCT filing planned within statutory deadlines. The technology enables transformative applications in compact energy generation, space propulsion, and medical isotope production.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 41%
Statistical Mechanics and Entropy
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.