4772 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 establishes a standardized scanning probe microscopy-based protocol for quantitatively characterizing superconducting qubit sidewall morphology through new descriptors, enabling cross-laboratory comparisons and future investigations into the correlation between sidewall geometry and qubit performance.
This study demonstrates that polar ferroelastic domain walls in SrTiO(111) heterostructures act as a carrier-density-tunable electronic degree of freedom, driving glassy electron dynamics and governing photoresponse in low-density two-dimensional electron gases.
This paper proposes a method utilizing the inherent colour-field generation approach within Smoothed Particle Hydrodynamics (SPH) simulations to categorize particles for effectively tracking and eliminating residual stress, thereby preventing premature failure in solid objects.
This study combines Non-Equilibrium Molecular Dynamics simulations with Machine Learning to reveal that vacancy density is the dominant factor driving a nonlinear, dose-dependent degradation of tungsten's lattice thermal conductivity, characterized by a step-like transition at a critical vacancy threshold of 0.05 at.%.
This paper demonstrates that centrosymmetric solids can generate dc photocurrents through a magnetoelectric bulk photovoltaic effect driven by the bilinear coupling of light's electric and magnetic fields, thereby extending the bulk photovoltaic effect to inversion-symmetric materials and enabling electrical readout of altermagnetic order.
This paper proposes a novel multi-modal AI framework that fuses Graph Neural Network analysis of crystal structures with Large Language Model processing of semantic text descriptions to achieve superior accuracy in predicting material magnetic ordering compared to standalone models.
This paper presents an autonomous agent that integrates a large language model with deterministic numerical analysis to adaptively handle spectral data exceptions in self-driving laboratories, successfully recovering quantitative Urbach energy values for most failed optical transmittance spectra while providing scientifically defensible rejections for ambiguous cases.
This paper reveals that weak or vanishing circular optical signals in altermagnets like MnTe often result from microscopic cancellations between large, opposing contributions rather than the absence of helicity-sensitive transitions, establishing a framework where magnetic symmetry dictates the allowance of the response while microscopic compensation determines its magnitude and sign.
This paper theoretically identifies monolayer van der Waals kagome materials of the family, particularly , as a promising platform for realizing high-temperature fractional Chern insulators and related topological phases due to their intrinsic topological flat bands, strong interactions, and tunable properties.
By employing a symmetric dual-pump excitation geometry on an amorphous GdFeCo thin film, the study demonstrates that the excitation pathway itself can induce a long-lived nonequilibrium spin configuration, significantly extending the lifetime of ferromagnetic resonance modes through a transient reduction in the effective spin-mixing parameter.