2794 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.
Using molecular dynamics simulations, this study reveals that the transition from antiplasticization to plasticization in chitosan-water mixtures is governed by the connectivity of dynamically accessible free volume regions, which modulates the competition between weakened polymer-polymer and enhanced polymer-water interactions to dictate the material's elastic properties.
This study reveals that electroforming in Pt/NbOx memristors induces a previously unrecognized, highly correlated redistribution of oxygen and platinum, where localized Joule heating drives the formation of a Pt-rich filament alongside an oxygen-enriched pathway, challenging the conventional view of noble metal electrode inertness.
This study utilizes a vicinal Cellular Automata model to demonstrate that the morphological transition from meandered patterns to mound structures on crystal surfaces is governed by the competition between Ehrlich-Schwoebel barriers and adatom mobility, revealing a reversible pathway between these distinct growth regimes across varying deposition and diffusion conditions.
This paper demonstrates a scalable method for significantly reducing the thermal conductivity of silicon membranes through block copolymer self-assembly and controlled nanohole etching, validated by a novel three-probe technique that overcomes thermal contact resistance challenges to achieve a fivefold reduction in thermal conductivity at room temperature.
This study combines in situ experiments and phase-field simulations to reveal a rich diversity of melting patterns in lamellar eutectics, identifying key physical mechanisms and scaling behaviors that depend on melting velocity and initial microstructure spacing.
This paper proposes a simplified free-energy framework that establishes a theoretical thermodynamic maximum for solar energy conversion at approximately 74%, while acknowledging that practical limits like the Shockley-Queisser limit (~33%) and specific processes such as spontaneous emission and nonradiative losses currently constrain achievable efficiencies to lower values.
This study resolves the controversy surrounding the nature of the rhombohedral (R) phase in epitaxial hafnia by utilizing synchrotron-based grazing incidence diffraction to conclusively demonstrate that it is a distinct ferroelectric phase separate from the orthorhombic (OIII) phase.
This study combines polarization-angle resolved Raman spectroscopy with density functional theory calculations to comprehensively identify, assign, and characterize the Raman-active phonon modes in orthorhombic LaInO, successfully extracting relative Raman tensor elements and confirming experimental frequencies through first-principles simulations.
This paper presents a validated 3D multiphysics finite element simulation in ANSYS LS-DYNA that integrates mechanical, thermal, and electromagnetic solvers with a micromechanical constitutive model to accurately predict the thermomechanical behavior and hysteresis of shape memory alloy hybrid composite actuators.
This paper proposes a non-integer-dimensional model for anisotropic solids using q-deformed derivatives inspired by Tsallis statistics to derive thermodynamic properties that accurately match experimental data while linking the deformation parameter to microscopic disorder and memory effects.