4213 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 epitaxial growth of quasi-free-standing rhombohedral 3R-WSe2 bilayers on a cubic W(110) substrate via selenium passivation, confirming their intrinsic ferroelectric stacking and unique electronic properties through combined experimental and theoretical analysis.
This study combines first-principles calculations and Raman spectroscopy to investigate the lattice dynamics of TaTe, NbTe, and their solid solutions, revealing that a specific high-frequency vibrational mode dominated by transition-metal motion exhibits unique intensity redistribution rather than frequency shifts, suggesting its short-range character and relevance to the charge density wave-driven lattice distortion.
This theoretical study demonstrates that pulse-duration-sensitive high harmonic generation in the chiral Weyl semimetal RhSi not only extends to higher photon energies by promoting multi-band excitations but also enables the synthesis of attosecond locally chiral light with pronounced circular dichroism, offering a pathway toward compact chiral light sources and topological electronics.
This paper presents a shift-invariant deep learning framework using Spatial Transformer Networks that effectively corrects for spectral shifts in X-ray Photoelectron Spectroscopy data, achieving high accuracy in identifying chemical functional groups and advancing automated material analysis.
This paper presents an automated computational workflow that integrates adaptive annealing to efficiently screen large polymer libraries, thereby generating consistent data suitable for machine learning models to predict key properties like density and glass transition temperature.
This paper extends first-principles spin-lattice relaxation theory to include three-phonon processes, demonstrating that while these contributions are negligible for the studied Chromium nitride complex under experimental conditions—thereby validating the weak coupling assumption—the framework reveals that slightly stronger coupling could make three-phonon effects significant at room temperature.
This paper demonstrates the room-temperature coherent propagation of high-velocity antiferromagnetic spin waves over approximately 10 micrometers in canted -FeO, achieving group velocities up to 22.5 km/s through the Dzyaloshinskii-Moriya interaction and validating these findings with an analytical model of quasi-linear dispersion.
This study reports the fabrication of a wafer-scale amorphous silicon carbide thin film with a record-breaking ultimate tensile strength exceeding 10 GPa and room-temperature quality factors above 10^8, establishing a new benchmark for high-performance nanomechanical sensors and dynamic applications.
This paper introduces the concept of pair-induced uniaxial anisotropy in disordered magnetic systems, demonstrating through density functional theory calculations on GaMnN that accounting for nearest-neighbor interactions significantly improves the accuracy of atomistic spin simulations compared to traditional single-ion anisotropy models.
This study demonstrates that twisted magnonic crystals can generate magnonic frequency combs through enhanced three-magnon interactions driven by non-collinear magnetic configurations, revealing an optimal range of twist angles and excitation frequencies for producing high-quality combs with potential applications in information processing and metrology.