2898 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 elucidates the extensive multi-directional photoresponse of metal/n-Si devices across UVA to NIR wavelengths by proposing a model where inter-band phonon scatterings at a zero-gap in silicon's conduction bands enable indirect transitions that overcome traditional bandgap and directivity limitations.
This paper demonstrates that noninvasive terahertz nano-imaging and spectroscopy can effectively correlate sidewall near-field scattering and dielectric responses with superconducting qubit coherence, offering a high-throughput alternative to destructive characterization methods for optimizing quantum circuit performance.
This first-principles study reveals that in Rh- and Pd-based kagome shandites, structural instabilities can be induced by tuning electronic saddle points closer to the Fermi level via pressure or doping, a phenomenon driven by significant electron-phonon coupling that is suppressed at higher electronic smearing temperatures.
Motivated by recent scanning tunneling experiments, this paper proposes a microscopic theory identifying an intra-valley, finite-momentum Kekulé pair-density wave (PDW) as the mechanism for unconventional superconductivity in twisted magic-angle bilayer graphene, a state characterized by spontaneous symmetry breaking, triplet pairing, and a BEC-like regime consistent with experimental signatures.
This paper presents Dopyqo, an open-source framework that combines density functional theory with the variational quantum eigensolver to accurately compute Bader charges for periodic systems, demonstrating significant improvements over standard DFT for both doped MgH2 supercells and strongly correlated transition metal oxides.
This study demonstrates that combining neutron depth profiling and neutron reflectometry provides a complementary, non-destructive approach to characterize the sub-30 nm gradient interphases between lithium metal and solid electrolytes across different length scales.
This study demonstrates that ScN films grown on mica follow conventional epitaxy with strain buildup and dislocation generation, thereby refuting prior claims of van der Waals epitaxy for non-layered materials on mica and urging that conventional epitaxy be the default assumption unless specific conditions are proven.
This paper presents a hybrid processing technique combining gold ion implantation with femtosecond laser irradiation to achieve controlled, deep, and highly efficient ablation in fused silica, resulting in cylindrical craters with a constant depth determined by the implantation profile rather than laser fluence.
This paper presents a unified stochastic framework that utilizes molecular dynamics simulations and dimensionality reduction techniques to infer, encode, and probabilistically characterize the anisotropic strength surfaces of defective monocrystalline graphene, enabling the generation of physically admissible strength surfaces and confidence intervals for materials with limited atomistic sampling.
This paper introduces an equivariant diffusion model that accurately reconstructs full 3D atomic coordination geometries, including bond angles and precise coordination numbers, directly from near-edge spectra (ELNES/XANES), outperforming traditional EXAFS analysis and template matching while demonstrating robust generalization from crystalline training data to amorphous systems.