3501 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 investigates the stability and electronic properties of alkali-triel-pnictide clathrates (ATPn) through high-throughput density functional theory and molecular dynamics simulations, revealing that guest ionization potential and spin-orbit coupling are critical for stability while noting that targeted synthesis of these phases remains unsuccessful.
H-NESSi is an open-source software package that enables efficient, long-time simulations of strongly correlated quantum systems out of equilibrium by combining high-order time-stepping with hierarchical low-rank compression techniques to overcome the prohibitive computational scaling of conventional Kadanoff-Baym equation solvers.
This paper extends the altermagnet Hamiltonian to include orbital degrees of freedom, revealing that dynamic lattice distortions and lattice anisotropy can generate controllable emergent electromagnetic fields and multipole currents, thereby uncovering a new orbital-driven transport mechanism in these materials.
This paper demonstrates that unaccounted circuit-induced voltage distortions in ferroelectric switching measurements can lead to unphysical interpretations of kinetic models, particularly the Avrami exponent, and proposes guidelines for future studies emphasizing direct voltage monitoring and circuit-aware de-embedding to ensure accurate analysis.
This study employs a machine-learning interatomic potential to demonstrate that chemical short-range order in CoNiV alloys suppresses vanadium clustering and reshapes the hydrogen energy landscape, thereby reducing bulk hydrogen uptake and weakening hydrogen-dislocation interactions to enhance resistance against hydrogen embrittlement.
This study evaluates various semilocal and hybrid density functionals for calculating defect formation energies in fcc metals and silicon, finding that the local density approximation performs best for metals while the LAK meta-GGA achieves outstanding accuracy for silicon, and rationalizes these trends by analyzing key semilocal ingredients to guide future functional improvements.
This paper presents an *ab initio* many-body theory of optical activity in solids using the GW-BSE framework, demonstrating that a combination of exciton envelope modulation and sum-over-exciton-states formulations is necessary to accurately capture the full frequency-dependent spectral dispersion of -quartz, a feat unachievable by independent-particle or simple local-field approximations.
This paper introduces a highly efficient 3D-CNN surrogate model that predicts hydrogen migration barriers in tungsten with high accuracy and a 23,000-fold speedup over traditional NEB calculations, thereby enabling real-time dynamic simulations of plasma-wall interactions in fusion reactors.
This paper demonstrates that the low-symmetry van der Waals semiconductor CrPS exhibits pronounced room-temperature optical and optoelectronic anisotropy, including strong linear dichroism and polarization-sensitive photocurrents driven by Cr d-orbital transitions, establishing it as a promising platform for narrow-band polarized photodetectors and 2D spintronic devices.
This paper presents a novel coupled fully kinetic hydrogen transport and ductile phase-field fracture framework that successfully models hydrogen embrittlement by capturing the critical role of dislocation segregation and the competition between loading rates and diffusion kinetics, thereby reproducing experimental observations of crack initiation shifts, multiple surface cracking, and the transition from ductile tearing to brittle fracture.