4820 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.
High-pressure synthesis significantly enhances the superconducting transition temperature and phase purity of underdoped and optimally doped PrFeAsO1-xFx by improving fluorine incorporation and microstructure, but its effectiveness is strongly composition-dependent, leading to impurity segregation and suppressed superconductivity in overdoped samples.
This paper presents a physics-guided computational framework that combines Random Forest classification, Ising-model Monte Carlo simulations, and autoencoder analysis to screen and identify promising cerium-based Ising ferromagnets with uniaxial magnetic anisotropy for future experimental synthesis.
This study investigates magnetoelastic coupling in stripe-domain states of yttrium iron garnet thin films, revealing that while local coupling is strong, the overall interaction remains in the weak regime due to phase cancellation across the magnetic texture, thereby establishing magnetic domain patterns as a key control parameter for phonon-mediated magnon dynamics.
This study demonstrates that alloying Pt with Cr enhances spin-orbit torques via an orbital Hall effect mechanism, enabling low-power, coherent spin-orbital Hall nano-oscillators in simple PtCr/NiFe heterostructures without the need for engineered multilayers.
This paper presents a template for upgrading manually operated magnetron sputtering chambers to automated systems, demonstrating its application in the semi-autonomous optimization of coercive fields in wurtzite AlScBN ferroelectric thin films.
This study employs first-principles calculations to reveal that the microscopic origin of altermagnetic spin splitting in CrSb thin films fundamentally differs from the bulk, relying on long-range inter-unit-cell Cr–Sb hopping that is preserved in (20) slabs but suppressed in (0001) and (100) orientations, thereby explaining the strong surface dependence of their electronic structures.
This study demonstrates that photoexcitation of NiO induces a long-lived metastable state with enhanced Ni 3d-O 2p orbital hybridization via dynamic screening of electronic correlations, a non-thermal mechanism that can be stabilized at low carrier densities to offer new design principles for optoelectronic materials.
This paper introduces AdsZeo, a comprehensive coordinate-resolved dataset containing over 62,000 equilibrium methane adsorption simulations across 4,775 aluminium-substituted zeolite frameworks, providing detailed molecular configurations and metadata to support advanced analysis and machine learning applications in adsorption science.
This study demonstrates that ion beam sputtering followed by humidity exposure induces surface wrinkling in hydrophilic polymer films (pHEMA and p4VP) due to water-induced swelling constrained by a graphitized surface layer and rigid substrate, whereas hydrophobic pV4D4 remains smooth due to its minimal water absorption.
This paper introduces "multitask scanning probe microscopy," an autonomous, closed-loop workflow that utilizes a multitask Gaussian process to dynamically select both measurement locations and experimental protocols, thereby enabling efficient, large-scale nanoscale characterization by intelligently balancing rapid imaging with slower, more invasive modalities.