Condensed matter physics and materials science form a dynamic partnership, exploring how the collective behavior of atoms gives rise to the unique properties of solids and liquids. This field bridges the gap between fundamental quantum mechanics and the practical engineering of everything from flexible electronics to superconductors, turning abstract theories into tangible innovations that shape our daily lives.

At Gist.Science, we process every new preprint in this category directly from arXiv to make these complex discoveries accessible to everyone. Our team generates both plain-language overviews and detailed technical summaries for each paper, ensuring that researchers, students, and curious minds alike can grasp the latest breakthroughs without getting lost in dense jargon.

Below are the latest papers in condensed matter and materials science, organized by their most recent publication dates.

Atomic-Scale Detection of Néel Vector Switching in the Single-Layer A-type Antiferromagnet Cr2S3-2D

This study establishes single-layer Cr2_2S3_3 as the first A-type antiferromagnet with a detectable Néel vector switching capability, driven by a substrate-induced magnetic moment imbalance that enables 180° rotation while maintaining air stability and a Néel temperature of approximately 160 K.

Affan Safeer, Calisa Dias, Mahdi Ghorbani-Asl, Abdallah Karaka, Pradyumna Bawankule, Weibin Li, Pierluigi Gargiani, Wouter Jolie, Arkady V. Krasheninnikov, Amilcar Bedoya-Pinto, Thomas Michely, Jeison (…)2026-04-09🔬 cond-mat.mes-hall

Determining the Free-Carrier Fraction in 2D Perovskites using Power Dependent Photoluminescence

This paper introduces a quantitative method based on power-dependent photoluminescence and the Saha equation to accurately determine the free-carrier fraction in 2D Ruddlesden-Popper perovskites, offering a reliable tool for analyzing excited-state dynamics under realistic operating conditions while revealing spatial variations near grain boundaries.

Antonella Cutrupi, Marc Melendez Schofield, Raquel Utrera-Melero, Michel Frising, Enrique Arevalo Rodriguez, Upasana Das, Ferry Prins2026-04-09🔬 cond-mat.mtrl-sci

Physics-Informed 3D Atomic Reconstruction and Dynamics of Free-Standing Graphene from Single Low-Dose TEM Images

This paper introduces a physics-informed computational framework that reconstructs the three-dimensional atomic geometry and millisecond-scale dynamics of free-standing graphene from single low-dose TEM images, enabling the quantitative correlation of sub-angstrom structural fluctuations with localized electronic properties while establishing critical dose thresholds for beam-sensitive materials.

Xiaojun Zhang, Shih-Wei Hung, Yawei Wu, Jyh-Pin Chou, Angus I. Kirkland, Roar Kilaas, Fu-Rong Chen2026-04-09🔬 cond-mat.mtrl-sci

Explicit Electric Potential-Embedded Machine Learning Framework: A Unified Description from Atomic to Electronic Scales

This paper proposes a unified machine learning framework integrating Potential-Embedded MACE and Potential-Embedded Electron Density Prediction to simultaneously and accurately simulate atomic forces and electron density distributions across arbitrary electric potentials, enabling large-scale studies of electrochemical interfaces like the Pt(111)/water system.

Jingwen Zhou, Yawen Yu, Xuwei Liu, Chungen Liu2026-04-09🔬 cond-mat.mtrl-sci