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 paper presents a comprehensive calculation of the krypton phase diagram using the Tadah! two-body potential, revealing fcc, hcp, and bcc regions and suggesting that observed melt-curve anomalies may actually stem from bcc-fcc boundary detection by the speckle method, while also demonstrating that machine-learned potentials like MACE do not inherently outperform pair potentials if improperly trained.
This paper demonstrates that two-dimensional magnetic Weyl semimetals exhibit a unique, temperature-robust Electric Hall Effect with unconventional scaling laws—ranging from a universal topological dependence at zero temperature to a logarithmically corrected divergence at finite temperatures—enabling the direct conversion of weak electric fields into measurable Hall signals.
This theoretical study demonstrates that while graphene-embedded metal-N catalysts offer competitive activity, metal-O frameworks (specifically M(OHPTP) with M = Zn or Co) provide a superior balance of electrochemical stability and catalytic performance for oxygen reduction and evolution reactions across wide pH ranges.
This study employs first-principles modeling to demonstrate that oxygen segregation at surface nitrogen sites in uranium nitride significantly reduces surface energy, particularly for small cavities at intermediate temperatures, thereby providing a mechanistic explanation for the material's irradiation-induced swelling behavior.
This paper presents a unified first-principles many-body framework that explicitly models carrier-carrier, carrier-phonon, and phonon-phonon scattering to accurately simulate ultrafast photocarrier and phonon dynamics, including frequency renormalizations and coherent atomic motion, in semiconductors like MoS and h-BN.
This paper generalizes the Green's function theory of Lymar' and Rudoi to model magnetic excitations in the collinear spin-half antiferromagnet BiCuO using an anisotropic Heisenberg XYZ Hamiltonian, successfully calculating spin-wave dispersions, critical fields, and a Néel temperature of approximately 52 K that aligns with recent experimental data.
This study introduces a novel hybrid coarse-grained molecular dynamics framework that integrates long-range Buckingham potentials with Hertzian contact mechanics to demonstrate that explicitly modeling inter-particle friction and viscoelastic damping is critical for accurately simulating the structural evolution and mechanical strength of coarse-grained clay assemblies.
This paper presents a novel imaging technique combining time-reversal methodology with tilt-scan-averaged differential phase contrast scanning transmission electron microscopy to achieve direct, quantitative, and dynamic visualization of magnetic vortex structures, including their out-of-plane cores, within individual cobalt nanoparticles.
This paper proposes an active-learning-guided adaptive search-space refinement framework combined with multi-objective Bayesian optimization that significantly accelerates materials discovery by reducing the candidate space by half while preserving over 99% of the original hypervolume and improving early convergence.
This study utilizes a machine-learning molecular dynamics combined with first-principles polarizability calculations (MD-Raman) to reveal that the distinct Raman signatures of LLZO garnet electrolytes originate from the vibrational dynamics of the lithium sublattice, thereby establishing Raman spectroscopy as a microscopic probe for Li-ion transport rather than merely an empirical tool for phase identification.