3992 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 combines quantum mechanical simulations and experimental measurements to reveal that poly(1,4-anthraquinone) exhibits higher capacity for monovalent Li and Na ions than divalent Mg and Ca ions because the latter are energetically restricted to a less efficient two-oxygen binding motif due to the polymer's conformational complexity.
This paper introduces a highly efficient variational free-energy framework that reduces the computational complexity of simulating second-order phase transitions in strongly anharmonic quantum materials from O(N⁶) to O(N²), enabling the accurate prediction of critical behaviors and dynamical spectra in large supercells (e.g., 1080 atoms of CsSnI₃) on consumer hardware in hours rather than millennia.
This paper establishes a direct link between orbital angular momentum transport, band geometry, and topological electronic structure in TaAs-family Weyl semimetals through a combination of ab initio density functional theory and an adiabatic perturbation theory-based minimal Weyl model.
This paper presents a synergistic experimental and algorithmic approach that combines ultrafast momentum microscopy with a table-top high-harmonic generation light source to achieve the first full three-dimensional photoemission orbital tomography of organic semiconductor orbitals using sparse, undersampled data.
This paper demonstrates that finite spin currents can be induced in conventional collinear antiferromagnets and higher-order altermagnets by using electric fields and strain to drive symmetry-lowering phase transitions into uncompensated or d-wave altermagnetic states, achieving high charge-to-spin conversion ratios validated by first-principles calculations on representative materials.
This study demonstrates that in multilayer SnS, the deformation potential dominates over the inverse piezoelectric effect to drive a polar-axis expansion, establishing stacking-engineered SnS as a platform for ultrafast optomechanical transduction through the correlation of polarization-resolved microscopy, ultrafast spectroscopy, and first-principles calculations.
This study establishes a high-throughput computational framework that integrates density functional theory, special quasirandom structures, and supervised machine learning to efficiently predict the thermodynamic stability and stabilization temperatures of thousands of potential NaCl-type entropy-stabilized oxide compositions, thereby guiding the experimental discovery of new multicomponent oxides.
Using inelastic neutron scattering and spin-dynamics simulations, this study reveals that antisite mixing in MnSb2Te4 creates disordered magnetic sublattices where linear Mn-Te-Mn bonds mediate strong defect-induced antiferromagnetic coupling, resulting in a large-gap optical magnon.
This study identifies naturally occurring talc as a promising van der Waals host for erbium-doped quantum emitters, demonstrating through first-principles calculations that substitutional Er ions are thermodynamically stable and emit telecom C-band photons at 1.55 m with a suitable crystal-field splitting for integrated quantum photonics.
This paper presents a first-principles theoretical formalism for evaluating configuration-dependent electronic friction memory kernels, demonstrating that incorporating these memory effects in nonadiabatic dynamics at metal surfaces significantly alters energy exchange mechanisms and eliminates the need for simplified Markovian friction coefficients.