3992 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 that pre-seeding SrTiO3 with mechanically induced dislocations suppresses elastic deformation and alters crack propagation from median/radial to partial cone cracks, thereby significantly enhancing the material's near-surface damage tolerance during microscratching.
This study demonstrates that helicity-dependent magnetization switching via substrate phonons is a general phenomenon across diverse materials, revealing that its efficiency is governed by the heterostructure's full optical response rather than substrate absorption alone, as evidenced by systematic spectral shifts and interface-localized heating effects.
This paper introduces a scalable, locally ab initio computational framework that leverages the nearsightedness of Wannier Hamiltonian matrix elements to accurately model arbitrary incommensurate material interfaces without requiring prohibitively large supercells, as demonstrated by its successful validation on quasicrystalline twisted bilayer graphene.
This paper systematically identifies the symmetry conditions allowing for triplet Weyl complexes with mixed chiral charges in magnetic space groups, predicting a novel configuration and experimentally realizing a state in the chiral carbon allotrope DZQH-C.
By combining temperature- and orientation-dependent polarized Raman spectroscopy with first-principles calculations, this study reveals that the incommensurate charge density wave in quasi-1D Ta2NiSe7 arises from a cooperative interplay between exceptionally strong, intrachain anisotropic electron-phonon coupling and enhanced interchain lattice anharmonicity.
This paper employs a semiclassical Boltzmann model to explain the unconventional magnetic field responses and impurity band features in disordered Dirac electron system Ag2Te, while also addressing and resolving critical thermal Hall effect interference in Nernst effect measurements to establish a new standard for thermoelectric studies.
This study introduces an atomistic framework to quantify interface-mediated strain accommodation in intermetallic-rich alloys, revealing that intermetallic-intermetallic interfaces can simultaneously sustain high loads and redistribute strain, thereby offering a promising pathway for designing damage-tolerant structural materials.
This paper argues that the common practice of extracting exciton dissociation probability from photocurrent versus effective voltage plots is fundamentally flawed, as the resulting metric actually reflects short-circuit collection efficiency and fill factor rather than true charge generation yields, rendering it unsuitable for analyzing modern high-efficiency organic solar cells.
This study utilizes GFN2 xTB calculations to demonstrate that carboxyl-functionalized carbon nanotubes exhibit pH-dependent adsorption capabilities for glyphosate, where dianionic and trianionic forms bind strongly via electrostatic and hydrogen bonding interactions, while neutral species show weak, reversible binding, thereby offering a tunable platform for efficient environmental remediation.
This paper demonstrates that a deep learning-based super-resolution algorithm can effectively enhance the resolution of scanning electron micrographs by a factor of four, significantly reducing imaging time and sample degradation while outperforming standard interpolation methods on steel materials.