2794 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.
Using laser-based ARPES, this study demonstrates that increasing tellurium content in Bi₂(Se₁₋ₓTeₓ)₃ topological insulators lowers the chemical potential and bulk density of states, inducing a transition to semiconducting behavior where metallic topological surface states dominate electrical transport at low temperatures.
This theoretical study demonstrates that while intrinsic Dzyaloshinskii-Moriya interactions in 2D FeGeXTe monolayers are too weak to stabilize noncollinear states, frustrated out-of-plane DMI promotes atomic-scale 3 magnetic textures and nanoskyrmion-like lattices, which can be further stabilized and tuned via strain or electric fields.
This study demonstrates that an electrochemically exfoliated MoS2/WS2 2D/2D heterostructure nanocomposite, featuring a Type-II band alignment and ultrathin layers, achieves highly efficient visible-light-driven degradation of the pharmaceutical pollutant sorafenib by significantly enhancing charge separation and reactive oxygen species generation.
This study reports the room-temperature observation of switching between bipolar and unipolar magnetostriction in polycrystalline ZnO films under in-plane magnetic field rotation, a phenomenon attributed to crystal anisotropy that highlights the material's potential for micro- and nano-electronic sensors and actuators.
This study demonstrates that a charge current flowing through a WTe2 layer can enhance the magnetic ordering of an adjacent Fe3GeTe2 ferromagnet via an orbital-magnetization-induced effective magnetic field, successfully driving its Curie temperature above room temperature and enabling controlled phase transitions.
This study demonstrates that alloying single-crystalline FeCo thin films grown on GaAs(001) enables continuous tuning of interfacial spin-orbit interaction and magnetic damping, achieving an ultra-low damping coefficient of approximately 0.0015 near a Co concentration of 20% while establishing a direct correlation between interfacial spin-orbit fields and magnetic relaxation.
This study employs generating-function mean-field theory on configuration-model graphs to demonstrate that rigidity percolation in random covalent networks exhibits a topological-mechanical degeneracy at the Maxwell isostatic point, identifies a specific topological milestone (12.5% giant rigid component) within the intermediate phase, and reveals a universal connection between this structural threshold and committed-minority tipping points in social and biological systems.
This paper investigates spin wave dispersion and instabilities in four-component collinear antiferromagnetic materials by analyzing small-amplitude perturbations in both discrete one-dimensional chains and continuous media, revealing that configurations with equilibrium spins perpendicular to the anisotropy axis inevitably lead to unstable modes with negative frequency squares.
This paper presents a neural-operator-accelerated concurrent multiscale framework that couples atomistic simulations with continuum finite-element analysis using a Recurrent Neural Operator surrogate to efficiently and accurately model the history-dependent viscoelastic behavior of materials like polyurea at scales previously untractable for direct molecular dynamics coupling.
This study demonstrates that twisted bilayer graphene at a 9.43° twist angle (Sigma 37) simultaneously optimizes lithium intercalation stability and diffusion kinetics, overcoming conventional stacking trade-offs through first-principles calculations and a machine learning framework that enables efficient prediction of ion transport properties across various twist angles.