Mathematical physics sits at the fascinating intersection where abstract equations meet the fundamental laws of our universe. This field uses rigorous mathematical tools to model everything from the behavior of subatomic particles to the curvature of spacetime, turning complex theories into testable predictions. It is the language through which physicists describe reality, bridging the gap between pure mathematics and physical observation.

On Gist.Science, we process every new preprint published in this category on arXiv to make these dense studies accessible to everyone. Whether you are a specialist or a curious reader, you will find both plain-language overviews and detailed technical summaries for each paper. Below are the latest mathematical physics papers from arXiv, curated to help you explore the cutting edge of theoretical science.

🔬 materials science

Development of a Physics-Informed Neural Framework, MEOWN, for Rapid Prediction of Muon Stopping Sites in Crystalline Materials, for understanding Quantum Magnet employing Muon Spectroscopy

The paper introduces MEOWN, a physics-informed machine learning framework that rapidly and accurately predicts muon stopping sites in crystalline materials by combining electrostatic modeling with symmetry-driven optimization, offering a computationally efficient alternative to traditional density functional theory methods for studying quantum magnetism.

A. Pandey, K. Sharma, S. Ghosh, G. Roy, T. Basu2026-09-16
🔬 atomic physics

Optimal Linear-Rate Conversion of Unknown Mixed Qubit States via SWAP Tests

This paper establishes that the optimal linear-rate conversion of unknown mixed qubit states (both concentration and dilution) is determined by the eigenvalues of the complex right-logarithmic-derivative Fisher information matrix and can be achieved using only SWAP tests and ancillary maximally mixed qubits, thereby revealing that the matrix's antisymmetric imaginary part encodes essential geometric information beyond statistical distance.

Sujay Kazi, Iman Marvian2026-09-16
⚛️ general relativity

Compact Proof of the Positivity of Quasi-Local Masses for a class of Initial Data

This paper presents a purely quasi-local proof of the positivity of the Wang–Yau mass for a specific class of initial data by reducing the problem to the Brown–York mass of a scalar-flat compact metric and demonstrating strict positivity through second variation analysis, thereby avoiding reliance on asymptotically flat extensions or the global positive mass theorem.

Puskar Mondal, Shing-Tung Yau2026-09-16