3501 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 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 combines high-throughput nanoindentation experiments with physics-informed machine learning to identify key material descriptors and establish transferable design rules for predicting and engineering light-induced plastic deformation in semiconductors.
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 study identifies CeRuSi as a unique kagome superconductor where intertwined Ru - and Ce -electron flat bands drive a complex hierarchy of charge orders and establish a direct correlation between normal-state time-reversal symmetry breaking and intrinsic nodal superconductivity.
This muon spin rotation study of Ti-doped CsVSb reveals that despite distinct charge-order regimes (long-range vs. short-range) at different doping levels, the material exhibits remarkably similar superconducting responses under pressure, suggesting that the competition between superconductivity and charge order occurs on a local scale independent of long-range charge coherence.
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.
This review synthesizes recent advances in unconventional magnetism, driven by spin space group theory, to elucidate how decoupling magnetic geometry from spin-orbit coupling enables time-reversal-odd responses and topological phenomena, ultimately paving the way for high-speed, energy-efficient spintronic applications.
Through first-principles calculations and Floquet engineering, this study identifies the flat-band magnetic Weyl semimetal as a realistic platform exhibiting a giant intrinsic anomalous Hall conductivity that can be dynamically and quantitatively suppressed by circularly polarized light via the enlargement of Weyl node separation.