🔬 Category

cond-mat.mtrl-sci

4007 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

Crystal forming ability of amorphous refractory metals under nanoindentation: a molecular dynamics study

This molecular dynamics study reveals that amorphous refractory metals (V, Nb, Mo, Ta, W) undergo shear-driven bulk nucleation and growth to transform into bcc crystals during nanoindentation, with their crystal forming ability decreasing from V to W and scaling inversely with indentation velocity, indicating that the transformation rate is governed by cohesive bond strength rather than thermodynamic driving force.

Prashant Dwivedi, Alberto Fraile, Tomas Polcar2026-07-30
🔬 materials science

Structure-Property Correlation of Cr/Cu-MnFeCoNi High-Entropy Alloys for Alkaline Water Electrolysis

This study demonstrates that substituting Cr with Cu in MnFeCoNi-based high-entropy alloys significantly enhances bifunctional alkaline water electrolysis performance by modulating electronic structure for favorable intermediate binding and inducing a dynamic Cu-rich surface reconstruction during the oxygen evolution reaction.

Shreyasi Chattopadhyaya, Raphael B. de Oliveira, Deepti Gangwar, Tymofii S Pieshkov, Marcelo L. Pereira Junior, Dhiman B (…)2026-07-30
🔬 materials science

The electric field gradient tensor as a symmetry-adapted order parameter in Landau theory

This paper establishes a systematic Landau theory framework that treats the electric field gradient (EFG) tensor as a symmetry-adapted order parameter, enabling the prediction of its linear or quadratic response to structural phase transitions based on irreducible representations and validating these predictions through experimental data and first-principles calculations.

L. Scalise, A. W. Carbonari2026-07-30
🔬 applied physics

Two-magnon scattering in the framework of the Lippmann-Schwinger equation

This paper introduces a Lippmann-Schwinger framework to model two-magnon scattering from weak defect potentials, demonstrating that the scattering is determined by the overlap between effective field perturbations and degenerate spin-wave states, thereby linking crystallographic orientation to magnetic linewidth broadening in iron garnet films.

Jorge Marquez Chavez, Ondřej Wojewoda, Yixuan Song, Geoffrey S. D. Beach, Caroline A. Ross2026-07-30
🔬 materials science

Theory of phonon-magnon hybridization and angular momentum in CrI3_3 and CrBr3_3

This paper develops a constrained Hamiltonian framework to quantify phonon-magnon hybridization in CrI3_3 and CrBr3_3, revealing significant mixing (up to 25% in CrBr3_3) and demonstrating how total angular momentum is conserved while being shared between the hybridized phononic and magnonic subsystems.

Maxime Mignolet, Miquel Royo, Massimiliano Stengel, Matthieu J. Verstreate2026-07-30
🔬 materials science

Generation of representative powder particle packing in 2D/3D: which tool for which application?

This paper benchmarks four open-source tools for generating representative 2D/3D powder particle packings against industrial standards, revealing that while Discrete Element Method (DEM) codes achieve the highest packing densities, sequential dropping-and-rolling algorithms offer a computationally efficient alternative with acceptable accuracy for many applications.

Antoine Tainturier, Louis Lemarquis, Victor Szczepan, Marc Bernacki2026-07-30
🔬 materials science

No band gap, no problem: Defects in InAs using a band-avoiding occupation-constrained density functional theory

This paper introduces a band-avoiding occupation-constrained density functional theory (ba-occ-DFT) method that overcomes the zero band gap problem in narrow-gap semiconductors like indium arsenide (InAs), enabling accurate predictions of atomic defect levels despite the failure of standard DFT to reproduce the experimental band gap.

Peter A. Schultz, Arthur H. Edwards, Evan M. Anderson, Anthony C. Knighton, Leopoldo Diaz2026-07-30
🔬 materials science

Towards real-time surrogate-free Bayesian inversion for neutron reflectometry

This paper introduces a rapid, surrogate-free Bayesian inversion framework for neutron reflectometry that leverages exact gradients to enable highly efficient Hamiltonian Monte-Carlo and Variational Inference methods, offering state-of-the-art uncertainty quantification speeds and robustness for complex samples without sacrificing physical intuition.

Max D. Champneys, Andrew J. Parnell, Philipp Gutfreund, Maximilian W. A. Skoda, Patrick A. Fairclough, Timothy J. Rogers (…)2026-07-29
🔬 materials science

Dual-Level Atomic and Coordination Geometry Learning for Crystal Property Prediction Using Graph Neural Networks

The paper proposes the Coordination Polyhedron Graph Network (CPGN), a multi-scale graph neural network that explicitly models atomic, bond, and coordination-polyhedron levels with bidirectional cross-attention to achieve state-of-the-art accuracy in predicting crystal properties by capturing fundamental structural units often missed by existing models.

Sanjay Chakraborty2026-07-29