🔬 Category

cond-mat.mtrl-sci

4119 papers

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

Physics Aware Representation Learning on Electronic Charge Density for Materials Property Prediction

This paper introduces a physics-informed deep learning framework that compresses high-dimensional electronic charge density data into a compact latent representation, enabling the rapid and accurate prediction of key mechanical and thermodynamic properties for thousands of inorganic compounds using only a fraction of the computational resources required by traditional DFT calculations.

Kammampati Sai Kumar, Albert Linda, Shubham Kumar Maurya, Somnath Bhowmick2026-05-11
🔬 materials science

Water adsorption on a model silicate surface: wollastonite (100)

This study combines cryogenic non-contact atomic force microscopy and density functional theory to reveal how water adsorption on the wollastonite (100) surface transitions from lattice-following patterns to complex coexisting structures and finally to water clusters as coverage increases, driven by the competition between water-surface and water-water interactions.

Luca Lezuo, Andrea Conti, Alexander Hoheneder, Elena Vaníčková, Domitilla Alessandra Aloi, Rainer Abart, Florian Mittend (…)2026-05-11
🔬 materials science

Spin-lattice coupling enables adaptive adsorption in magneticallydriven electrocatalysts

This study demonstrates that applying an external magnetic field to Ni-Fe oxyhydroxides relaxes the intrinsic scaling relationships of oxygen evolution reaction intermediates by modulating spin-lattice coupling, thereby enabling adaptive adsorption and reducing overpotential through structural flexibility at the interface.

Arnold Gaje, Lulu Li, Felipe A. Garcés-Pineda, Camilo A. Mesa, Ghazaleh Abdolhosseini, Aditya K. Kushwaha, Dora Zalka, E (…)2026-05-11
🔬 materials science

Dislocations in (011)-oriented vertical Bridgman β\beta-Ga2_2O3_3 substrates

This study utilizes X-ray topography and reticulography to characterize dislocation arrays and domain boundaries in (011)-oriented vertical Bridgman β\beta-Ga2_2O3_3 substrates, revealing their specific crystallographic orientations and providing critical insights into defect formation relevant to epitaxial growth and device performance.

Yongzhao Yao, Daiki Katsube, Hirotaka Yamaguchi, Yukari Ishikawa2026-05-11
🔬 materials science

Noncollinear antiferromagnetic structure and physical properties of CrRhAs with distorted kagome lattice

This study experimentally establishes CrRhAs as a strongly correlated kagome metal featuring a noncollinear antiferromagnetic structure with a propagation vector of (1/3, 1/3, 1/2) and anomalous multiband transport properties, revealing a ferromagnetic second-nearest-neighbor coupling that contradicts prior theoretical predictions.

Chenglin Shang, Daye Xu, Bingxian Shi, Xuejuan Gui, Zhongcen Sun, Juanjuan Liu, Jinchen Wang, Hongxia Zhang, Hongliang W (…)2026-05-11
🔬 materials science

Selectivity- and Activity-Aware Catalyst Descriptors for CO2_2 Hydrogenation on Alloy Nanocatalysts using Machine-Learned Force Fields

This study introduces a facet-resolved adsorption energy distribution framework utilizing machine-learned force fields to analyze 1.4 million adsorption sites across diverse alloy surfaces, thereby identifying specific compositions and orientations that optimize both activity and methanol selectivity for CO2_2 hydrogenation.

Prajwal Pisal, Ondřej Krejčí, Patrick Rinke2026-05-11
🔬 materials science

Exploring the Potential of Ternary Blending for Two and Three-Junction RAINBOW Solar Cells

This study demonstrates that the scalable RAINBOW spectral-splitting architecture, which utilizes ternary-blended subcells to optimize bandgaps and minimize fabrication challenges, can boost organic photovoltaic efficiency from 12.9% in single-junction devices to 17.3% in three-junction configurations, confirming its viability for high-performance, manufacturable solar cells.

Francesc Xavier Capella-Guardià, Jolanda Simone Muüller, Muhammad Ahsan Saeed, Xabier Rodríguez-Martínez, Miquel Casadem (…)2026-05-11
🔬 materials science

Beyond the conventional Emery model: crucial role of long-range hopping for cuprate superconductivity

Using the dynamical vertex approximation, this study demonstrates that while the conventional Emery model captures qualitative features of cuprate superconductivity, incorporating long-range hopping parameters beyond the standard three is essential for achieving a quantitatively accurate phase diagram and a proper d-wave order parameter.

Eric Jacob, M. O. Malcolms, Viktor Christiansson, Leonard M. Verhoff, Paul Worm, Liang Si, Philipp Hansmann, Thomas Schä (…)2026-05-11