4797 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 theoretical Landau-like formalism that models thermal-runaway and filamentation instabilities in switching Mott devices as saddle-node bifurcations, a framework that is quantitatively validated by experimental observations of VO2 thin films and provides a predictive foundation for optimizing memristor technologies.
This paper introduces Topo-Spectral Percolation Descriptors (TSPD), a calibration-free method that rapidly predicts ion transport mechanisms and pathways from static crystal structures by analyzing physics-based migration networks, offering a computationally efficient alternative to costly molecular dynamics simulations for materials screening.
This paper presents a chemical vapor deposition strategy for the controlled, layer-by-layer growth of highly aligned, single-crystalline MoS nanoribbons on sapphire, enabling the fabrication of transistors with significantly enhanced carrier mobility and current density compared to monolayer counterparts.
This paper establishes a theoretical framework demonstrating that while multicomponent alloys typically undergo single-mode spinodal decomposition due to mixing tendencies, specific arrangements of binary interaction parameters can induce multimode instability, enabling the engineering of complex microstructures with locally varying solid solutions.
This paper presents a transferable graph neural network surrogate framework that directly predicts atomic displacements to propagate molecular dynamics across distinct crystal symmetries (FCC aluminum, BCC iron, and HCP magnesium) without requiring symmetry-specific modifications or explicit force evaluation, achieving stable nanosecond-scale simulations with high accuracy.
The authors demonstrate that depositing an ultrathin titanium sacrificial layer atop tantalum films acts as a solid-state oxygen getter to chemically reduce the native oxide interface, thereby more than tripling the internal quality factors of tantalum coplanar waveguide resonators to over 1.5 million.
This study demonstrates that photoemission orbital tomography can experimentally identify all molecular orbitals of bisanthene on a Cu(110) surface across a 10 eV binding energy range, providing a rigorous benchmark that reveals the range-separated hybrid functional HSE performs best and suggests Kohn-Sham orbitals approximate Dyson orbitals more accurately than previously thought.
This study demonstrates that varying acid cleaning treatments on molecular beam epitaxy-grown single-crystal niobium thin films significantly degrade their electrical and superconducting properties by inducing hydrogen diffusion and surface hydrocarbon crystallite formation, leading to substantial reductions in resistivity ratios and resonator quality factors.
This paper proposes a new scheme combining spin space groups (SSGs) and magnetic space groups (MSGs) to predict electronic band topology in collinear magnets, enabling the identification of topological materials that are invisible to traditional MSG-based analysis and successfully identifying 26 such materials, including FePSe, from a high-throughput screening of 488 compounds.
This paper proposes a "two-parent" energetic framework explaining the widespread yet boundary-confined superconductivity in crystalline graphene as a result of first-order transitions between degenerate isospin-ordered normal states, where even a small pairing energy gain can stabilize a superconductor by selecting the normal state parent that maximizes the net free energy gain.