2692 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 study demonstrates the use of multi-directional dark-field neutron tomography as a non-destructive, multi-scale imaging technique to visualize the 3D hierarchical nanoarchitecture and anisotropic orientation of cellulose nanofibrils in solid foams, overcoming the radiation damage and length-scale limitations of conventional X-ray and electron-based methods.
This study reports a comprehensive spectroscopic characterization of highly hydrogenated monolayer graphene on nickel grids, demonstrating that fully -like hydrogenation induces a wide optical band gap of approximately 6.3 eV and distinct -plasmon quenching, while partially hydrogenated samples exhibit mixed morphologies and reduced saturation.
This paper presents a computationally efficient semi-empirical pseudopotential method, fitted to density-functional theory results with minimal parameters, that accurately calculates the band structures and Bloch states of monolayer and bilayer transition metal dichalcogenides.
This paper proposes a minimal micropolar model to demonstrate that odd elasticity naturally emerges as a nonlinear effect of internal particle rotations in disordered chiral active materials, revealing new dynamically unstable regions and bulk wave propagation driven by odd solid-fluid coupling.
This study reports that disorder in bulk WTe drives anisotropic Kondo screening and pinning of the Fermi level near Weyl nodes, inducing a spontaneous Hall effect and establishing the material as a platform for disorder-tuned Weyl-Kondo fermions.
This paper presents a first-principles framework that extends Marcus theory to construct two-dimensional free energy surfaces for coupled ion-electron transfer (CIET) by conditioning diabatic nuclear configurations on interfacial anisotropy, revealing that CO2 reduction kinetics on gold electrodes are governed by saddle-point barriers that differ significantly from traditional one-dimensional treatments.
This review provides a comprehensive theoretical and practical guide to atomistic tight-binding methods and numerical techniques for modeling the electronic, transport, and optical properties of various moiré superlattices, while also clarifying their connection to effective low-energy continuum models.
This paper demonstrates that the sensitivity of 3D printed, continuous carbon fiber self-sensing structures can be significantly and irreversibly enhanced through pre-stressing with compressive bending loads, while co-extruding a conductive filament matrix improves their electrical reliability and noise performance.
This paper introduces Phonon Fine-tuning (PFT), a scalable method that directly supervises machine learned interatomic potentials with DFT-derived force constants to significantly improve the accuracy of vibrational and thermal properties by correcting curvature errors in the potential energy surface.
This paper introduces the Bond Smoothness Characterization Test (BSCT), a computationally efficient metric that detects potential energy surface non-smoothness to both validate Machine Learning Interatomic Potentials and guide iterative architectural improvements, resulting in models that achieve low regression errors while ensuring stable molecular dynamics simulations.