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.

🔬 condensed matter

Wetting as an emergent property of water: reformulating Young equation on molecular grounds

This paper reformulates the macroscopic Young equation on molecular grounds using a universal wetting coefficient derived from water's intrinsic hydrogen-bond energetics, thereby revealing wetting as an emergent property of water itself and establishing a predictive framework that unifies wetting, adhesion, and cavitation across diverse surfaces.

Nicolas Loubet, Gustavo Appignanesi2026-06-01
🔬 materials science

Simulations of dislocation dynamics on an atomic lattice: the effect of collision rules

This paper uses numerical simulations to demonstrate that while discrete dislocation dynamics models with annihilation rules consistently converge to a PDE accounting for annihilation, models without collision rules exhibit inconsistent convergence behavior, highlighting the critical importance of carefully treating dislocation collisions in such simulations.

Tom Hudson, Akaraphon Jantaraphum, Patrick van Meurs2026-06-01
🔬 materials science

A Padding Method for Enhanced Encoding of Inorganic Structures with Varying Chemical Compositions

This paper introduces a novel symmetry-aware padding method that integrates Wyckoff position information into encoder architectures to significantly enhance the accuracy, stability, and efficiency of generative models for designing diverse inorganic materials, achieving notable improvements in reconstruction accuracy and the generation of novel stable compounds.

Thang Dang, Haderbache Amir, Tzanakakis Alexandros, Yoshimoto Yuta2026-06-01
🔬 materials science

Saturated and Anisotropic Magnetostriction in an Altermagnet

This study reports the discovery of easily saturated and anisotropic magnetostriction in the prototypical altermagnet MnTe, a finding that challenges traditional views on antiferromagnetic magnetostriction by revealing a symmetry-allowed coupling between elastic strain and the Néel order parameter.

Zhiyuan Duan, Qiyun Xu, Peixin Qin, Li Liu, Guojian Zhao, Yuzhou He, Xiaoyang Tan, Sixu Jiang, Jingyu Li, Xiaoning Wang (…)2026-06-01
🔬 mesoscale physics

Interplay of Cl Substitution and He+^{+} Irradiation in CrSBr1−x_{1-x}Clx_{x}

This study demonstrates that combining chlorine substitution and helium ion irradiation in the two-dimensional magnetic semiconductor CrSBr induces local symmetry breaking and defect-related scattering, which collectively reconstruct the anisotropic Raman spectra while preserving robust resonance-enhanced electron-phonon coupling.

Satyam Sahu, Adeel Bukhari, Arijit Kayal, Valerie Černá, Bing Wu, Aljoscha Söll, Gregor Hlawacek, Zdeněk Sofer, Martin K (…)2026-06-01
🔬 materials science

A Self-Evolving Machine-Learning-Based Kinetic Monte Carlo Method for Modelling Thin-Film Growth

This paper presents a self-evolving kinetic Monte Carlo framework that dynamically trains machine-learning models on-the-fly to efficiently predict atomic diffusion rates for thin-film growth simulations, achieving high computational efficiency and accuracy by replacing expensive calculations with uncertainty-guided learning, as demonstrated in Ag/Ag{111} sub-monolayer growth.

Jyri Kimari, Flyura Djurabekova, Kostas Sarakinos2026-06-01
🔬 materials science

In-situ operation of amorphous circuits under heavy-ion irradiation

This study demonstrates the robust in-situ operation of a 100-transistor amorphous thin-film semiconductor circuit under heavy-ion irradiation, successfully executing a "Hello World" output sequence at high particle fluxes and establishing a new milestone for radiation-tolerant digital electronics in extreme environments.

Xuanzhe Sha, Shun Liao, Xiaoxi Li, Chengyuan Li, Jianli Liu, Yu Pan, Wenhai Wang, Yu Ye, Chengxin Zhao, Liyi Li, Hanwen (…)2026-06-01
🔬 materials science

Emergence of spin entanglement with the pseudogap onset in the Fermi-Hubbard model

By combining ultracold-atom quantum simulations with dynamical vertex approximation calculations, this study reveals that spin-singlet entanglement emerges specifically at the onset of the pseudogap regime in the two-dimensional Fermi-Hubbard model, thereby challenging purely classical theories and constraining microscopic models to those incorporating nearest-neighbor quantum correlations.

Frederic Bippus, Thomas Chalopin, Gabriele Bellomia, Gergő Roósz, Titus Franz, Antoine Georges, Anna Kauch, Immanuel Blo (…)2026-06-01
🔬 materials science

Magnetic domains reconfiguration on the Fe3O4(110) surface across the Verwey transition by Spin-Polarized Low-Energy Electron Microscopy

Using spin-polarized low-energy electron microscopy, researchers mapped the vector magnetization of the Fe3_3O4_4(110) surface to reveal a temperature-dependent reconfiguration of magnetic domains from bulk-aligned easy axes at room temperature to in-plane [100] and [001] directions below the Verwey transition, while confirming the magnetization remains strictly within the surface plane.

C. Gutiérrez-Cuesta, A. Mandziak, J. E. Prieto, P. Nita, A. Mascaraque, U. Choudhry, J. Turner, A. Stibor, J. de la Figu (…)2026-06-01