4962 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 contribution presents a scalable, convex optimization-based information alignment approach that leverages the Fisher information matrix to select minimal, high-quality training data for accurately predicting quantities of interest, thereby addressing data scarcity and parameter non-identifiability in diverse scientific modeling and active learning applications.
This article experimentally demonstrates and elucidates the continuous hexatic melting mechanism of incommensurate charge density waves in low-dimensional materials and reveals a progression from elastic deformations to the nucleation of topological defects through the observation of azimuthal peak broadening, wave vector contraction, and intensity reduction.
This computer-aided study demonstrates that single-walled carbon nanotubes effectively adsorb ionized glyphosate species through various interaction mechanisms, thereby underscoring their potential for environmental monitoring and the remediation of agricultural contamination.
This study demonstrates that liquid infiltration of pre-sintered 3Y-Zirconia with Sc, Mg, and Y is a viable method for co-doping, effectively altering the material's phase composition, microstructure, and mechanical properties to achieve characteristics similar to 5Y-Zirconia.
This study demonstrates that oxygen-vacancy doping in metallic EuTiO induces a distinct phase diagram compared to cation substitution, driving a transition from antiferromagnetic to ferromagnetic order with a Curie temperature of approximately 11 K, a finding supported by transport measurements, density functional theory, and diffuse scattering data.
This paper introduces a scalable, translationally invariant variational theory for ab initio polarons that combines momentum-projected wavefunctions with low-rank kernel factorization to accurately model carrier behavior across coupling regimes in the thermodynamic limit, revealing significant biases in existing diagrammatic Monte Carlo results for strong-coupling hole polarons in LiF.
This paper introduces a semi-local framework that integrates polarizable atomic multipoles with non-self-consistent linear response to enable machine learning interatomic potentials to accurately model long-range electrostatics and predict polarization-sensitive observables like Born effective charges and infrared spectra across diverse ionic and polar systems.
This paper compares implicit Gauss-Seidel and semi-implicit BDF1 schemes for micromagnetic simulations, finding that while the Gauss-Seidel method requires a projection step to accurately capture steady states and domain wall motion under large dissipation, the BDF1 method yields consistent results with or without projection regardless of the dissipation coefficient.
This study resolves conflicting reports on the magnetic properties of (Fe,Mn,Ga)2O3 bixbyites by demonstrating that observed room-temperature ferrimagnetism is an extrinsic artifact caused by trace, structurally undetectable spinel impurities rather than an intrinsic property of the bixbyite phase.
This study experimentally characterizes the sub-kelvin thermal conductivity of various substrate materials and on-chip routing, revealing that high-resistivity silicon offers superior thermal performance and that while routing lines enhance in-plane conductance, the substrate remains the dominant heat path, thereby emphasizing the critical importance of material selection and 3D integration for effective thermal management in large-scale quantum systems.