2732 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.
This study compares various methods for calculating lattice thermal conductivity across three crystalline systems, finding that quadratic and Peierls heat current approaches yield similar results, optical phonons can dominate acoustic modes in -quartz, and the relaxation time approximation consistently underestimates thermal conductivity.
GenL is a flexible, extensible, and open-source MATLAB-based program that utilizes a genetic algorithm to simulate and fit X-ray reflectivity and diffraction data from epitaxial thin films, offering both source code and pre-compiled binary options for extracting structural parameters like strain profiles and crystal roughness.
This paper demonstrates a novel direct-write laser annealing technique that repurposes grayscale patterning methods to rapidly create complex, two-dimensional continuous variations in the magnetic properties of various thin-film systems, overcoming previous limitations in speed and dimensionality.
This paper presents an ab initio framework based on the Bethe-Salpeter equation to accurately model x-ray absorption spectra of photo-excited solid-state valence excitons in pump-probe experiments.
This paper establishes a new thermodynamic criterion for identifying the vortex lattice phase in type-II superconductors by discovering a dynamic magnetostrictive effect, where an alternating magnetic field induces a geometry oscillation proportional to vortex density, detectable via a piezoelectric transducer.
This study demonstrates that combining all-optical two-color laser fields with mechanical strain engineering enables precise, orthogonal control over high-harmonic generation in monolayer WS2, where strain-induced modifications to band dispersion and Berry curvature significantly enhance perpendicular harmonic emission and provide a robust signature for probing quantum geometric effects.
This paper presents a machine learning framework that converts multimodal X-ray images of particulate composites into topology-aware graphs to uncover microstructure-property relationships, demonstrating its utility in optimizing solid-state battery cathodes by identifying critical triple phase junctions and conduction channels.
CatFlow is a flow matching-based framework that utilizes a primitive cell-based factorized representation to efficiently co-generate structurally faithful slab-adsorbate systems, significantly improving the design of heterogeneous catalysts by better capturing the intrinsic coupling between surface geometry and adsorbate interactions.
This study confirms that anomalous photocurrents in the Weyl semimetal TaIrTe arise from a large transverse thermoelectric effect rather than nonlinear charge currents, demonstrating that strategic engineering of crystal orientation and thermal environments can amplify these responses for broadband photodetection applications.
This paper investigates how the interplay between relativistic spin-momentum locking and various forms of inversion symmetry breaking in the altermagnet Ca2RuO4 leads to diverse magnetic phases, including Rashba and Weyl-type spin-orbit couplings and exotic states with weak ferromagnetism, thereby explaining experimental observations and predicting conditions for p-wave magnetism.