2692 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 first-principles study reveals that linearly -dependent higher-order strain terms are crucial for accurately modeling the electronic structure of strained HgTe, explaining the camel-back feature in the tensile regime and supporting the emergence of a Weyl semimetal phase under compressive strain.
This study demonstrates that intense terahertz pulses can parametrically excite Raman-active phonons in LaAlO by inducing a coupling between the Raman mode and pairs of acoustic phonons, resulting in substantial subharmonic components.
The study reveals that exchange interactions with a magnetic EuOx overlayer uncover a hidden, highly anisotropic uniaxial spin texture in the superconducting 2D electron gas at KTaO3 (110) interfaces, offering new avenues to explore the interplay between magnetism and 2D superconductivity.
This study characterizes the ferromagnetic kagome metal ScMn6(Sn0.78Ga0.22)6, revealing an in-plane easy magnetization axis that preserves a gapless Dirac cone and flat bands, thereby demonstrating how magnetic orientation modulates the material's topological electronic structure and anomalous Hall effect.
This study employs first-principles molecular dynamics to reveal how TlO induces network depolymerization while TiO promotes repolymerization in tellurite glasses, providing a predictive framework for tailoring their structural connectivity and non-linear optical properties.
Using first-principles calculations, this study reveals that oxygen vacancies and stable neutral dumbbell interstitials dominate the intrinsic defect landscape of orthorhombic BaInO, providing a comprehensive thermodynamic framework for understanding its ionic and electronic conductivity in solid oxide fuel cells.
This paper presents AiiDAlab, a Jupyter-based web platform built on the AiiDA infrastructure that empowers scientists across diverse disciplines to automate, manage, and analyze complex computational workflows with full reproducibility, while highlighting its recent expansion into electronic laboratory notebooks, large-scale facilities, and educational settings.
This study employs direct large-scale ab initio simulations to propose a novel method for determining the immiscibility boundary of H-He mixtures, revealing that helium admixture significantly delays the insulator-metal transition and drastically reduces electrical and thermal conductivities, thereby profoundly impacting the thermal evolution, internal structure, and dynamo action of gas giants like Jupiter and Saturn.
This paper investigates charge and energy transport in monolayer graphene with smooth finite-range disorder by employing a nonperturbative approach that combines exact scattering matrices with the Boltzmann equation, revealing significant deviations from standard perturbative predictions and the Wiedemann-Franz law, particularly at low energies.
AutoDFT is a closed-loop multi-agent framework that integrates LLM reasoning throughout the entire DFT lifecycle to automate planning, parameter generation, and error recovery, achieving high success rates on diverse benchmarks and enabling non-experts to obtain reliable first-principles materials predictions.