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.

🔬 materials science

Designing quantum technologies with a quantum computer

This paper presents a quantum-computer-aided framework that combines advanced encoding, aggregation, and a hybrid multi-reference selected quantum Krylov fast-forwarding algorithm to efficiently simulate the long-time dynamics of solid-state spin systems, enabling the design and optimization of quantum technologies like nitrogen vacancy centers with reduced circuit complexity on near-term hardware.

Juan Naranjo, Thi Ha Kyaw, Gaurav Saxena, Kevin Ferreira, Jack S. Baker2026-01-30
🔬 materials science

On the determination of the thermal shock parameter of MAX phases: A combined experimental-computational study

This study combines quantum-mechanical simulations and experimental analysis to demonstrate that Ti3AlC2 MAX phase coatings exhibit superior thermal shock resistance compared to Cr2AlC, primarily due to the latter's larger linear coefficient of thermal expansion, thereby validating the potential of ab initio calculations for predicting the thermal shock behavior of such materials.

Matej Fekete, Clio Azina, Pavel Ondračka, Lukas Löfler, Dimitri Bogdanovski, Daniel Primetzhofer, Marcus Hans, Jochen M. (…)2026-01-29
🔬 materials science

Symmetry-protected electronic metastability in an optically driven cuprate ladder

This paper reports the discovery of long-lived, symmetry-protected electronic metastability in the cuprate ladder Sr14_{14}Cu24_{24}O41_{41}, achieved by using optical fields to dynamically activate a symmetry-forbidden hole-hopping pathway that suppresses relaxation back to the ground state.

Hari Padma, Filippo Glerean, Sophia F. R. TenHuisen, Zecheng Shen, Haoxin Wang, Luogen Xu, Joshua D. Elliott, Christophe (…)2026-01-29
🔬 materials science

Two-component anomalous Hall and Nernst effects in anisotropic Fe4x_{4-x}Gex_xN thin films

This study investigates the anomalous Hall and Nernst effects in anisotropic Fe4x_{4-x}Gex_xN thin films, revealing that Ge substitution induces a tetragonal distortion and a two-component hysteresis behavior driven by the coexistence of crystallographic orientations with opposing anomalous signals, ultimately demonstrating a significant enhancement of the anomalous Nernst effect in Fe3_3GeN despite its reduced Curie temperature.

R. K. Paul, J. Vít, P. Levinský, J. Hejtmánek, O. Kaman, M. Pashchenko, L. Kubíčková, K. Ahn, M. Jarošová, J. More Cheva (…)2026-01-29
🔬 materials science

CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolution

The paper introduces CASCADE, a self-evolving agentic framework that enables large language models to autonomously acquire and codify complex scientific skills through continuous learning and self-reflection, achieving a 93.3% success rate on materials science tasks and demonstrating significant potential for scalable AI-assisted scientific research.

Xu Huang, Junwu Chen, Yuxing Fei, Zhuohan Li, Philippe Schwaller, Gerbrand Ceder2026-01-29
🔬 materials science

Optically Addressable Molecular Spins at 2D Surfaces

This paper demonstrates a hybrid molecular-2D architecture where spin-active molecules anchored on hexagonal boron nitride function as optically addressable quantum sensors directly on the surface, achieving robust spin coherence from 4 K to room temperature that surpasses bulk organic crystals and enables the detection of proximal magnetic fields.

Xuankai Zhou, Yan-Tung Kong, Cheuk Kit Cheung, Guodong Bian, Reda Moukaouine, King Cho Wong, Yumeng Sun, Cheng-I Ho, Vla (…)2026-01-29
🔬 materials science

Kolmogorov-Arnold Networks Applied to Materials Property Prediction

This study evaluates Kolmogorov-Arnold Networks (KANs) for predicting 33 diverse materials properties, finding that while standard KANs often underperform compared to Random Forests and require more tuning, optimized KAN architectures and their resulting interpretable closed-form expressions can achieve accuracy comparable to established models with significantly fewer parameters and minimal domain expertise.

Ryan Jacobs, Lane E. Schultz, Dane Morgan2026-01-29
🔬 materials science

Impact of O concentration on the thermal stability and decomposition mechanism of (Cr,Al)N compared to (Ti,Al)N thin films

This study reveals that while oxygen incorporation significantly enhances the thermal stability of (Ti,Al)(O,N) films by inhibiting decomposition, it has no such effect on (Cr,Al)(O,N) films because their decomposition is triggered by Cr-N bond breaking and subsequent nitrogen evaporation, which creates vacancies that facilitate rapid mass transport regardless of oxygen content.

Pauline Kümmerl, Ganesh Kumar Nayak, Felix Leinenbach, Zsolt Czigány, Daniel Primetzhofer, Szilárd Kolozsvári, Peter Pol (…)2026-01-29