4820 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 paper develops a unified thermodynamic framework for fluid-fluid and solid-fluid interfaces by extending the Larché and Cahn variational formulation to incorporate interfacial thermodynamics directly, thereby deriving both bulk and interfacial equilibrium conditions as stationarity conditions of a single functional.
The paper introduces SPEAR, a framework that enhances the physical interpretability and stability of attention-based machine learning models for materials discovery by applying learnable temperature and smoothness constraints to attention mechanisms, thereby generating coherent, causally aligned explanations without compromising predictive accuracy.
This paper reports a record-high room-temperature transverse thermoelectric figure of merit () of 0.36 in artificially tilted multilayers composed of NiFe and BiSbTe, achieved without an external magnetic field by leveraging the alloy's high power factor and the sharp transport property contrast between the constituent layers.
This paper introduces a novel simulation-based inference framework utilizing neural ratio estimation and conditional flow matching, enhanced by a physics-aware vision transformer, to efficiently infer full posterior distributions of Hamiltonian parameters from RIXS spectroscopy data, thereby enabling advanced uncertainty quantification and experimental design for transition metal compounds.
This paper reports the discovery of a robust in-plane anomalous Nernst effect in symmetry-tailored ultrathin ferromagnetic oxide films, demonstrating that the effect can arise from spontaneous in-plane magnetization and out-of-plane orbital magnetization, thereby overcoming the traditional orthogonality constraint and enabling more flexible magnetothermoelectric device designs.
This study finds that while silicon sampling using frontier models remains an early-stage method that underestimates opinion variance and distorts contextual space, its "fast" mode offers a conditional superiority over "slow" modes by delivering higher algorithmic fidelity with significantly greater efficiency in compute resources and runtime.
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.