4239 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.
The paper introduces MBD-ML, a pretrained message passing neural network that directly predicts atomic coefficients and polarizabilities from structures to enable efficient, accurate, and seamless integration of many-body dispersion interactions into various electronic structure codes and force fields without intermediate electronic calculations.
This study reports the successful in situ synthesis of a three-dimensionally interconnected hexagonal boron nitride networked Cu-Ni composite via a two-step compaction and MOCVD process, which enhances the material's resistance to mechanical, thermal, and chemical attacks while enabling the extraction of foam-like hBN for biomedical and energy storage applications.
This study optimizes room-temperature ozone sensors by demonstrating that Mn doping and specific halide compositions (Br-rich for p-type, Cl-based for n-type) significantly enhance sensitivity and stability, while clarifying the underlying gas interaction mechanisms through combined experimental and atomistic simulation approaches.
Inspired by arthropod cuticles, this study introduces a zero-waste method that vitrifies chitosan with trace nickel ions to create a water-resistant material that becomes stronger than commodity plastics when wet, offering a sustainable alternative to persistent synthetic polymers.
This study utilizes the GFN1-xTB method to compute the binding energies of ten abundant interstellar atoms on an amorphous silicate dust model, revealing that while elements like Si, Al, and Ca bind strongly enough to withstand high temperatures, all studied atoms remain firmly attached to dust grains under typical interstellar conditions, thereby providing critical first-principles data for models of dust evolution and surface chemistry.
Through fully ab-initio Bethe-Salpeter equation calculations, this study demonstrates that while excitonic fluctuations emerge near the transition temperature, the charge density wave phase in TiSe is primarily driven by structural distortions rather than a purely electronic excitonic insulator mechanism.
This study presents a comprehensive experimental analysis of strain and magnetic field effects on donor-bound excitons in isotopically enriched Si, revealing donor-specific deformation potentials and refined parameters essential for the development of silicon-based quantum devices.
This paper introduces a fluctuating Darcy model to demonstrate that space- and time-dependent porosity fluctuations significantly enhance or modify the hydrodynamic permeability of porous membranes compared to static matrices, offering new insights for optimizing membrane design.
This study demonstrates that two-dimensional functionally graded anisotropic metamaterials can efficiently facilitate broadband elastic wave mode conversion across interfaces with large stiffness contrasts by mitigating polarization-induced impedance mismatch through tailored density and anisotropic shape gradients.
This paper presents a machine learning framework that combines high-throughput simulation with forward and inverse neural network models to efficiently design bimaterial hybrid-honeycomb lattice metamaterials capable of simultaneously exhibiting negative Poisson's ratios and negative thermal expansion coefficients.