4797 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 reports the discovery of a novel room-temperature incommensurate () charge density wave superstructure in monolayer 1T-VS and elucidates its evolution into a commensurate () order in multilayers driven by vanadium self-intercalation.
This study experimentally identifies Co1/4TaSe2 as a layered altermagnetic material with a Néel temperature of 178 K, using ARPES and DFT to confirm its characteristic spin splitting and temperature-dependent band reconstruction.
This paper analyzes circular dichroism in resonant inelastic x-ray scattering (RIXS) for magnetic materials, demonstrating through symmetry analysis and numerical calculations that RIXS-CD is distinct from first-order spectroscopies due to its insensitivity to time-reversal symmetry breaking, thereby allowing its detection in disordered states and revealing specific invariance properties in antiferromagnets, altermagnets, and ferromagnets.
This study employs Density Functional Theory to investigate how hydrostatic pressure and isoelectronic substitution modulate the intricate spin-phonon coupling in FeSe, revealing distinct phonon mode dependencies on magnetic moments and dynamical instabilities that offer insights into the emergence of nematicity and superconductivity.
This paper presents a novel localized Joule heating method to carbonize 3D-printed polymer nanostructures into functional electrodes on CMOS chips, achieving complete carbonization within a temperature range compatible with sensitive CMOS circuits while avoiding the damage caused by traditional global high-temperature annealing.
First-principles calculations reveal that four-phonon scattering dramatically suppresses the room-temperature thermal conductivity of monolayer beryllene by over 90% through the strong scattering of low-frequency flexural phonons, establishing it as a unique case of higher-order phonon-controlled thermal transport in two-dimensional materials.
This study experimentally determined the heats of fusion for lithium niobate and lithium tantalate end members via DTA and XRF analysis, then utilized these data within a thermodynamic solution model and Calphad optimization to construct and refine the phase diagram of their solid solutions, ultimately deriving the segregation coefficient as a function of tantalum concentration.
This study identifies and characterizes six distinct carbon-related defect configurations in gallium nitride by correlating experimental infrared and Raman vibrational spectra of isotopically enriched samples with first-principles density functional theory calculations, revealing specific properties of prominent defects like tri-carbon complexes and carbon-nitrogen substitutions while demonstrating the capability to detect low-concentration carbon doping through resonant Raman enhancement.
This paper proposes a robust inversion methodology that extracts the nature and concentration of randomly distributed impurities in disordered mesoscopic devices by analyzing their energy-dependent conductance fingerprints, as demonstrated through simulations on graphene nanoribbons.
The paper introduces \texttt{peaks}, a Python package designed for the interactive visualization, hierarchical management, and efficient parallel processing of large-scale angle-resolved photoemission spectroscopy (ARPES) and related spectroscopic datasets.