AI Physics Review
AI Physics Review (AIPR) is an independent publication that surfaces theoretical research papers demonstrating strong structural clarity under a fixed evaluation protocol.
A detailed explanation of the research environment that motivated the creation of AI Physics Review is available in the project article: Leveling the Playing Field in Theoretical Research.
The Review does not evaluate scientific correctness, theoretical importance, institutional affiliation, citation counts, or author reputation. Instead, it examines the structural presentation of a manuscript: how clearly the problem is defined, how assumptions are stated, how equations are constructed, and how the logical structure of the work unfolds.
AI-assisted analysis is used only to generate structured summaries and to evaluate formal manuscript structure under the fixed MEALS protocol.
The goal is simple: to provide visibility for research programs that demonstrate strong analytical organization and formal discipline, independent of prestige signals or institutional status.
Current Issues
Below are the most recent issues of AI Physics Review. Issue 0 presents historically influential papers evaluated under the AIPR framework to illustrate baseline structural scoring behavior.
Volume 1 · Issue 4 – April 13, 2026
Contents
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Invariant Variation Problems
Noether, Emmy
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Spectral Geometry and the One-Loop QED β-Function on S3 × S1
Antonov, Lyudmil -
A Constructive Einstein–Cartan–Yang–Mills Theory with Positive Mass Gap in Four Dimensions
Čižek, Emmanouil Karolos -
The Fractal Tripura Model, Vol. 5: A Factorized Transition Model Coupling Fractal Memory, Spectral Capacity, and Hazard
Sabljić, Branimir -
The Entropic-Field Genesis Model (EFGM): A singularity-free framework for cosmogenesis based on quantum-entropic fluctuations
Dindar, Baran -
Geometrodynamic Unification Theory SO(10)
Curci, Alberto -
Scalar Temporal Field Ontology v26: Unified UV-Complete Framework for Time, Geometry, and Energy
Howe, Cale Scott -
Spacetime Flattening from Black Hole Mass Accretion in Cosmic Expansion (Entropyics 1)
Jang, Y. -
The Parameter Planes of the Spherically Symmetric and Static Relativistic Solutions for Polytropes
deLyra, Jorge L. -
A Fundamental Lagrangian for a Timeless Universe: Derivation of Gravitation and Quantum Mechanics
İnal, Cüneyt
Volume 1 · Issue 3 – April 6, 2026
Contents
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A Mathematical Theory of Communication
Shannon, Claude E.
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Electrostatics with a Finite-Range Nonlocal Polarization Kernel: Closed-Form Potential, Force-Law Deviations, Physical Motivation, and Experimental Context
Perry, Anthony -
Renormalization via φ⁴ and QED
Totsam -
Spectral Gaps in Four Dimensions: Constructive Proof of the SU(3) Yang–Mills Mass Gap From Reflection Positivity and Chessboards to OS Reconstruction
Reeves, Keefe -
Universal Maximum Angular Speed for Objects in Flat and Curved Spacetime: Theoretical Upper Bound for Massless and Massive Particles
Nazat, Md. Shaikhul Hadis -
Foldy-Wouthuysen Green’s function and WKB transfer matrix method for Dirac tunneling through monolayer graphene with a mass gap
Doost, Mark Behzad -
Band-Limited Relational Time in Constrained Quantum Gravity
Speicher, Cherry -
Universal Scalar Field Theory (USFT) – Version 1.5
Zeciri, Gjevdet -
Wolf-Rayet Mass Diagnostic via Photogravitational Parameter: 43% Deficit Found
Bashan, Nadav -
Intrinsic Wave–Particle Cycling of the Electron: A Bounded Transition Framework Beyond Observer-Induced Collapse
Rezapour, Majid; Rezapour, Ramin -
Hawking Radiation and Superradiance in Hairless Black Holes
Chen, Wen-Xiang
Legacy / Calibration Issue
Volume 1 · Issue 0 – March 2026
Calibration Issue – Versioned under evolving evaluation baselines
Contents
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Zur Elektrodynamik bewegter Körper – On the Electrodynamics of Moving Bodies (Special Relativity)
Einstein, Albert
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“Relative State” Formulation of Quantum Mechanics
Everett, Hugh III -
Particle Creation by Black Holes
Hawking, S. W. -
Inhomogeneous Electron Gas
Hohenberg, P.; Kohn, W. -
The Large N Limit of Superconformal Field Theories and Supergravity
Maldacena, Juan -
A Dynamical Theory of the Electromagnetic Field
Maxwell, James Clerk -
Quantisierung als Eigenwertproblem (Quantization as an Eigenvalue Problem)
Schrödinger, Erwin -
A Model of Leptons
Weinberg, Steven
Prior Issues
Volume 1 · Issue 2 – March 30, 2026
Yang, C. N.; Mills, R. L. | Published 1954
Volume 1 · Issue 1 – March 2026
Volume 1 · Issue S1 – March 2026
Special Issue (Curated Edition)
What Makes This Review Different
AI Physics Review focuses on structural readiness rather than scientific verdicts. The evaluation system measures the clarity and organization of a manuscript’s analytical structure without attempting to determine whether a theory is correct or important.
Author identity, institutional affiliation, citation counts, download metrics, and theoretical popularity are not considered. Only the explicit structural properties of the manuscript are evaluated.
How Papers Enter the Review
- Authors deposit their manuscript on Zenodo.
- The record is submitted to the AI Physics Review Zenodo community.
- Eligible manuscripts may be evaluated as part of future issue cohorts.
- Selected papers are presented in the Review through structured analytical overviews.
Detailed submission instructions are available on the Submissions page.
Scope of the Project
AI Physics Review does not replace peer review and does not attempt to adjudicate scientific correctness. The project provides a structured publication layer that highlights manuscripts demonstrating strong analytical organization under a declared evaluation protocol.
Participation is voluntary. Authors may request corrections or an editorial withdrawal notice for their work at any time. Because issues are archived through DOI repositories, the original issue record remains preserved as part of the scholarly archive.
Publisher Note
AI Physics Review is published by the Compression Theory Institute. The institute also offers independent consulting services related to AI-assisted research workflows and structural manuscript analysis. These services are separate from the AI Physics Review evaluation process and have no influence on scoring, selection, or publication decisions.
Learn more: compressiontheoryinstitute.org