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.
By irradiating freestanding monolayer hBN with ultra-low-energy Ar+ ions, this study reveals that boron single vacancies are the predominant defect formed contrary to simulation predictions, while impurity-driven vacancy filling plays a more significant role than previously assumed, complicating the selective engineering of quantum emitters.
This computational study utilizes SCAPS-1D simulations to demonstrate that a Cu2NiGeS4 thin-film solar cell incorporating In2S3 and MoTe2 as charge-selective layers can achieve a predicted power conversion efficiency of 28.44% through systematic optimization of device parameters, significantly surpassing previously reported performance ranges.
This study identifies MnTe2 as a model cubic noncollinear altermagnet by demonstrating a large piezomagnetic response through combined dilatometry and nuclear magnetic resonance measurements, which reveal a linear coupling between lattice strain and magnetic moment consistent with theoretical predictions.
This study reveals that the record-high Curie temperature of 478 K in (Fe,Ni)GeTe arises not from homogeneous nickel substitution, but from the spontaneous formation of strain-stabilized, nickel-free FeGeTe nano-precipitates that host a unique electronic landscape combining localized moments and spin-polarized itinerant carriers.
This paper proposes that kagome superconductors AVSb and ATiBi possess 2+ valence ions with similar carrier densities but distinct quantum fluctuating magnetic moments, a finding experimentally confirmed by the enhanced magnetic susceptibility observed upon introducing nonmagnetic Sn impurities that relieve geometric frustration.
This study theoretically demonstrates that rolling graphene into an N-turn nanoscroll and applying a longitudinal magnetic field enables precise N-fold enhancement of conductance by activating a tunable topological winding number, thereby offering a new pathway to design custom topological materials through geometric manipulation.
This paper resolves the Marcus-Rehm-Weller paradox by demonstrating that the contrasting predictions of rate decrease versus saturation in electron transfer arise as distinct physical limits (nonadiabatic versus adiabatic) of a single two-state quantum Hamiltonian, allowing for the quantitative reproduction of experimental data without phenomenological corrections.
This study systematically maps the magnetoconductance evolution in thin films across a topological-to-trivial phase transition and a subsequent disorder-driven localization crossover, revealing a distinct shift from weak antilocalization to positive orbital magnetoconductance governed by incoherent hopping mechanisms.
This paper introduces a comprehensive framework, including classification criteria, a database, and high-throughput screening tools, to systematically identify and analyze correlated electron molecular orbital materials, revealing that their emergent electronic states arise from a complex interplay of electron count, symmetry, frustration, and correlation strength rather than cluster motifs alone.
This paper establishes a rigorous quantum-to-classical mapping for interacting spin systems at finite temperatures, demonstrating that classical Monte Carlo simulations with an effective spin length of accurately predict magnetic transition temperatures and susceptibility in real materials by incorporating leading-order quantum corrections.