Physics explores the fundamental rules governing our universe, from the tiniest subatomic particles to the vastness of distant galaxies. This category focuses on educational physics, bridging the gap between complex theoretical concepts and clear, understandable explanations for students and enthusiasts alike. It covers how we teach, learn, and visualize the laws of nature in everyday contexts.

Gist.Science monitors arXiv daily to process every new preprint in this specific field. We transform these raw scientific manuscripts into accessible plain-language overviews alongside detailed technical summaries, ensuring that cutting-edge educational research reaches a wider audience without losing its rigor. Below are the latest papers in physics education research and related studies that have recently appeared on arXiv.

An Open-Source Pseudo-Spectral Solver for Idealized Korteweg-de Vries Soliton Simulations

This paper introduces *sangkuriang*, an open-source Python library that utilizes Fourier pseudo-spectral methods and JIT-accelerated Runge-Kutta integration to accurately simulate Korteweg-de Vries soliton dynamics, demonstrating high-fidelity conservation laws and phase-space preservation across various interaction scenarios.

Dasapta E. Irawan, Sandy H. S. Herho, Faruq Khadami, Iwan P. Anwar, Karina A. Sujatmiko, Alfita P. Handayani, Faiz R. Fajary, Rusmawan Suwarman2026-03-02🌀 nlin

The challenging task of investigating student thinking: an example from quantum computing

This paper chronicles the extensive development and revision of a single multiple-choice item on the Quantum Computing Conceptual Survey to illustrate the complexities of probing student reasoning in quantum mechanics, specifically regarding phase kickback, while offering a cautionary tale for researchers and instructors using such assessments.

Josephine C. Meyer, Steven J. Pollock, Bethany R. Wilcox, Gina Passante2026-02-27🔬 physics

Curiosity Over Hype: Modeling Motivation Language to Understand Early Outcomes in a Selective Quantum Track

This study analyzes 241 Spanish admission responses from QuantumHub Peru's selective quantum track using LDA and sentence embeddings to find that curiosity-driven motivation signals correlate with higher early engagement and performance, though the small sample size limits the statistical power of these preliminary findings.

Daniella Alexandra Crysti Vargas Saldana, Freddy Herrera Cueva2026-02-24⚛️ quant-ph

Mastering Olympiad-Level Physics with Artificial Intelligence

The paper introduces LOCA, an AI agent framework that decomposes complex physics problems into verifiable atomic steps and iteratively refines solutions, achieving near-perfect scores on the 2025 Chinese Physics Olympiad and IPhO 2025 examinations while surpassing top human competitors.

Dong-Shan Jian, Xiang Li, Chen-Xu Yan, Hui-Wen Zheng, Zhi-Zhang Bian, You-Le Fang, Ren-Xi He, Jing-Tian Zhang, Ce Meng, Ling-Shi Meng, Bing-Rui Gong, Sheng-Qi Zhang, Yan-Qing Ma2026-02-19💬 cs.CL