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 intercalating a bilayer of indium between epitaxial graphene and a SiC substrate significantly enhances dielectric screening by creating a nearly free-electron system, thereby overcoming the electronic performance limitations caused by weak substrate interactions.
This study utilizes in situ synchrotron X-ray diffraction to establish a precise high-pressure high-temperature processing window for nanodiamonds containing silicon-vacancy centers, identifying specific graphitization thresholds that enable strain-relieving annealing to improve optical properties without inducing phase transformation.
This paper demonstrates that quantum fluctuations of higher-spin collective modes in altermagnets with easy-plane anisotropy serve as the microscopic origin of piezomagnetism, producing a pronounced enhancement in integer-spin systems via Higgs-like amplitude modes while suppressing the effect in half-integer systems due to the separation of multipolar excitations.
This study employs first-principles density functional theory calculations to investigate the physical properties and multifunctional potential of the high-pressure electride superconductor Li5N within the 150–350 GPa range.
This paper presents a freely available database of simulated oxygen K-edge X-ray absorption spectra for the NMC811 layered cathode material and benchmark binary oxides, generated using the XCH method with the R2SCAN functional to link spectral features to specific local oxygen environments for applications in spectral fingerprinting, experimental comparison, and machine learning.
This paper presents an uncertainty-aware, multi-fidelity machine learning framework that screened 5.5 million compounds to identify over 400 surfaces with extreme work functions, revealing new chemical motifs like lanthanide-rich terminations for low work functions and metalloids for high work functions to accelerate materials discovery.
This paper challenges traditional molecular mobility-based models of glassy polymers by demonstrating through combined photobleaching and mechanical experiments that partial unloading does not reduce mobility, leading to the development of a new model where stress-induced changes in the fraction of efficiently packed material govern the shear modulus rather than the relaxation time.
This study demonstrates that the molecular orientation and liquid crystal-like order in vapor-deposited glasses of a phenanthroperylene-ester can be precisely controlled and predicted using rate-temperature superposition, extending this principle to hexagonal columnar systems for potential organic electronic applications.
This study demonstrates that physical vapor deposition (PVD) of the organic semiconductor Alq3 at controlled temperatures significantly enhances its resistance to crystallization by extending the glass-to-liquid transformation time, offering a new strategy to improve the stability of organic light-emitting diode (OLED) devices.
This study characterizes the T1, T2, and complex permittivities of various hydrogels, paramagnetic salt solutions, and oils at 0.35, 1.5, and 3 Tesla to identify optimal materials for constructing MRI phantoms with specific dielectric and relaxivity properties.