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.

Type-II-like ultrafast demagnetization behavior in NiCo2O4 thin films

This study demonstrates that epitaxial NiCo2O4 thin films exhibit an intrinsic, robust two-step ultrafast demagnetization behavior characterized by a picosecond demagnetization component and a subsequent recovery, establishing rare-earth-free oxide ferrimagnets as promising platforms for investigating mult-sublattice spin dynamics.

Ryunosuke Takahashi, Kaede Yamada, Harjinder Singh, Kanata Watanabe, Junta Igarashi, Julius Hohlfeld, Jon Gorchon, Gregory Malinowski, Daisuke Kan, Yuichi Shimakawa, Takayuki Ishibashi, Stephane Mangi (…)2026-04-21🔬 cond-mat.mtrl-sci

SWORD: Symmetry and Wyckoff-sequence of Ordered and Disordered crystals

The paper introduces SWORD, a novel symmetry-aware and Wyckoff-based string representation that standardizes and uniquely identifies both ordered and disordered crystal structures, thereby enabling efficient deduplication, novelty assessment, and curation of large-scale materials databases like the ICSD.

Yuyao Huang, Wei Nong, Shuya Yamazaki, Martin Hoffmann Petersen, Jianghai Wang, Ruiming Zhu, Kedar Hippalgaonkar2026-04-21🔬 cond-mat.mtrl-sci

A unified framework for grain boundary distributions in textured materials

This paper introduces a unified eight-parameter framework demonstrating that grain boundary plane distributions are inherently ambiguous for inferring formation mechanisms, as observed anisotropy can stem from either macroscopic alignment or intrinsic crystallographic selection, necessitating the combined analysis of texture, grain boundary normal distributions, and grain boundary character distributions to accurately identify the dominant formation process.

Ralf Hielscher, Rüdiger Kilian, Erik Wünsche, Katharina Tinka Marquardt2026-04-21🔬 cond-mat.mtrl-sci

Materials Informatics Across the Length Scales

This paper surveys the current state, capabilities, and challenges of data-driven materials informatics across nanoscale, mesoscale, and continuum length scales, emphasizing critical issues such as data quality, uncertainty, and cross-scale consistency while outlining the path toward reliable multiscale integration.

Jamal Abdul Nasir, Hamide Kavak, Oguzhan Der, Ali Ercetin, Amila Akagic, Jesper Friis, Francesca L. Bleken, Andrea Lorenzoni, Francesco Mercuri, Scott M. Woodley, Keith T. Butler2026-04-21🔬 cond-mat.mtrl-sci

Polarization Engineering of the Orbital Hall Conductivity in Two-dimensional Ferroelectric Higher-Order Topological Insulator Tl2_2S and SnS

This study reveals that ferroelectric polarization in two-dimensional higher-order topological insulators Tl2_2S and SnS serves as a tunable mechanism to engineer and reversibly switch orbital Hall conductivity, thereby establishing a new pathway for controllable orbitronics through the coupling of ferroelectricity and band topology.

YingJie Hu, Heng Gao, Yabei Wu, Wei Ren2026-04-21🔬 cond-mat.mtrl-sci

Evaluating dispersion models for ab initio simulation of G-I and G-II molten fluoride salts

This study systematically evaluates the impact of dispersion corrections on ab initio simulations of Group-I and Group-II molten fluorides, revealing that while semi-empirical models significantly improve density predictions and are crucial for high-charge-density cations like BeF2_2, their influence on diffusion coefficients is minimal when density is held constant.

Shubhojit Banerjee, Rajni Chahal Crockett, Julian Barra, Stephen T Lam2026-04-21🔬 cond-mat.mtrl-sci

ToFiE, a Topology-aware Fiber Extraction workflow for 3D reconstruction of dense and heterogeneous biological fiber networks from microscopy images

The paper introduces ToFiE, an open-source, topology-aware workflow that overcomes the limitations of current intensity-based segmentation methods to accurately reconstruct the 3D connectivity of dense and heterogeneous biological fiber networks from microscopy images.

Risa Togo, Sara Cardona, Irène Nagle, Gijsje H. Koenderink, Behrooz Fereidoonnezhad, Mathias Peirlinck2026-04-21🧬 q-bio

Uncertainty-aware phase fraction prediction and active-learning-guided out-of-domain discovery of refractory multi-principal element alloys

This study introduces an uncertainty-aware deep learning framework using Mixture Density Networks to predict phase fractions in refractory multi-principal element alloys, identifies a minimal feature set for robust predictions, and employs an active learning strategy to guide the discovery of novel alloys with unseen elements.

A. K. Shargh, C. D. Stiles, J. A. El-Awady2026-04-21🔬 cond-mat.mtrl-sci

Multipolar Piezoelectricity and Anisotropic Surface Transport in Alterelectrics

This paper introduces "alterelectrics," a new class of materials based on electric polarization that mimics the symmetry-driven properties of altermagnets, including quadrupolar piezoelectricity, hyperbolic wave dispersion, and anisotropic surface transport, thereby disentangling intrinsic magnetic effects from those dictated purely by crystal symmetry.

Amber Visser, Viktor Könye, Oleg Janson, Jeroen van den Brink, Corentin Coulais, Jasper van Wezel2026-04-21🔬 cond-mat.mtrl-sci