4841 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 extends the analysis of topological charge fluctuations from the 2D XY model to the 2D classical Heisenberg model, demonstrating through high- and low-temperature expansions that these fluctuations scale with the area of a region at high temperatures but follow a perimeter law at low temperatures.
This study employs DFT and NEGF calculations to demonstrate that gas sensing in layered BiOI is governed by bias-tunable transmission channel evolution near the Fermi level rather than adsorption strength alone, revealing a transport-centered selectivity framework where weakly adsorbed CO2 exhibits superior low-bias sensitivity compared to strongly chemisorbed species.
This paper introduces a generic, software-based real-time feedback framework called "dynamic control" that actively compensates for specimen drift in TEM and STEM by precisely adjusting the stage, achieving picometre-scale stabilization to enable high-resolution, long-exposure, and in situ atomic imaging without requiring hardware modifications.
This study demonstrates that alloy engineering in monolayer MoSSe enables continuous tuning of the optical gap and systematic control of excitonic properties, including B–A splitting and circular polarization, through composition-dependent modifications of the electronic structure and phonon energies.
This study employs first-principles calculations to demonstrate that tetragonal GeS and GeSe exhibit pronounced anisotropic thermoelectric properties, characterized by significantly suppressed cross-plane lattice thermal conductivity and moderate figure-of-merit () values, particularly for n-type GeS at high temperatures.
This study demonstrates that the noncentrosymmetric magnet (FeNiPd)P enables deterministic vector-field control of chiral spin textures and reveals a previously unrecognized, temperature-driven evolution of its effective Dzyaloshinskii-Moriya interaction landscape that induces emergent basal-plane anisotropy at low temperatures.
A novel high-entropy compound, RhMnFeCoGe, with a cubic non-centrosymmetric B20 structure was synthesized under high pressure and temperature, revealing ferromagnetic behavior with a critical temperature of 146 K that increases under lattice compression, as confirmed by experimental transport, magnetic, and NMR measurements alongside ab initio calculations.
This study combines theoretical calculations and experimental measurements to characterize the localized excitonic transitions in the layered antiferromagnetic semiconductor CrPS, revealing how temperature and magnetic fields modulate these excitons to provide optical signatures of magnetic phase transitions and potential pathways for all-optical magnetic control.
This study reveals that local chemical ordering in the disordered perovskite BaCuNbO, which preferentially forms Cu-Nb bonds and suppresses Cu-Cu linkages, creates a specific exchange network that drives the material's low-temperature random-singlet behavior rather than conventional magnetic ordering or spin-glass freezing.
This study employs machine learning on a high-throughput DFT dataset to establish a universal solvent screening criterion for solid polymer electrolytes, identifying N-methoxy-N-methyl-2,2,2-trifluoroacetamide as an optimal trace additive that significantly enhances ionic conductivity, electrochemical stability, and cycling durability in lithium metal batteries.