Towards the Unified Field Theory: Solar System Genesis Framework (SSGF)

Deposit package for Towards the Unified Field Theory: Solar System Genesis Framework (SSGF).This archive contains the English documentation tree for target "SSGF"(resource: publication / working paper) under the"Towards the Unified Field Theory" multi-framework documentation project.Note (Claims Hygiene): This project is a multi-framework documentationsystem, not a claim of a finished Theory of Everything. This documentrepresents a theoretical framework hypothesis under the"Towards the Unified Field Theory" project.AI Usage Statement: This project leverages advanced Large Language Models(LLMs) as interactive research and documentation co-pilots under humandirection. AI is utilized for bilingual research intake, LaTeX structureformatting, cross-framework indexing, and initial drafting. All theoreticalconcepts, framework architectures, physical hypotheses, and finalvalidations are directed and maintained by the human author.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-17
DOI
https://doi.org/10.5281/zenodo.21981254
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards the Unified Field Theory: Solar System Genesis Framework (SSGF)

Ye Min
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

Towards the Unified Field Theory: Solar System Genesis Framework (SSGF)

Ye Min
article en

Abstract

Deposit package for Towards the Unified Field Theory: Solar System Genesis Framework (SSGF).This archive contains the English documentation tree for target "SSGF"(resource: publication / working paper) under the"Towards the Unified Field Theory" multi-framework documentation project.Note (Claims Hygiene): This project is a multi-framework documentationsystem, not a claim of a finished Theory of Everything. This documentrepresents a theoretical framework hypothesis under the"Towards the Unified Field Theory" project.AI Usage Statement: This project leverages advanced Large Language Models(LLMs) as interactive research and documentation co-pilots under humandirection. AI is utilized for bilingual research intake, LaTeX structureformatting, cross-framework indexing, and initial drafting. All theoreticalconcepts, framework architectures, physical hypotheses, and finalvalidations are directed and maintained by the human author.

Zenodo (CERN European Organization for Nuclear Research)
Wisdom Health (United States) (US)
Quality Education
Openalex Percentile: Top 21%
Machine Learning in Materials Science
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Towards the Unified Field Theory: Solar System Genesis Framework (SSGF) — Ye Min · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS