3501 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 utilizes advanced \emph{ab initio} simulations to reveal that the anomalous anodic hydrogen evolution and violent dissolution of magnesium are caused by the formation of a solvated [Mg(OH)] complex, which explains the previously elusive presence of univalent Mg ions and the failure of protective oxide layers.
This paper presents a novel machine-learning potential based on the Atomic Cluster Expansion that explicitly incorporates magnetism to accurately model the complex structural, electronic, and thermodynamic properties of iron and its oxides across the full range of oxygen content.
This paper introduces the Statistical Phase Evaluation Approach (SPEA), an efficient analytical thermodynamic model that accurately predicts defect phase transformations and surface order-disorder transitions in metal alloys by reproducing Monte Carlo simulation results and offering a viable alternative to traditional CALPHAD sublattice models.
This review critically examines state-of-the-art first-principles approaches and emerging methodologies for realistically modeling electrified solid/liquid interfaces, addressing key challenges such as potential and pH control to enable more accurate simulations of electrochemical systems.
This study demonstrates that highly hydrogenated monolayer graphene exhibits long-term stability in ultra-high vacuum but rapidly oxidizes in air, a process that can be effectively reversed through re-exposure to atomic hydrogen, highlighting its potential for hydrogen storage applications.
This study demonstrates that the ferromagnetic ground state of single-crystalline NdGaSi splits quasi-flat 4f bands near the Fermi energy, enabling localized f-electrons to directly generate a record-breaking intrinsic anomalous Hall conductivity of 1165 cm, a phenomenon absent in its non-magnetic analog NdAlSi.
This paper demonstrates that interferometric second-harmonic generation imaging serves as a powerful, nondestructive tool for mapping ubiquitous antiparallel domains and quantifying crystalline quality across large areas of 2D hexagonal boron nitride, thereby overcoming a fundamental challenge in assessing material integrity for advanced technologies.
The paper introduces SMILE-CP, a computationally efficient, macro-dipole-constrained learning scheme that accurately infers atomic charges from standard DFT data to overcome thermal fluctuations and enable reliable, bias-controlled simulations of electrochemical interfaces.
This paper introduces an interpretable Gaussian process model called GP-, which utilizes electron-affinity difference distributions to predict superconducting transition temperatures, successfully validating its approach on nickelates and experimentally discovering a new superconductor, PtPbBi, with a critical temperature of approximately 3 K.
This paper reports the first experimental demonstration of electrically driven plasmon-polaritonic bistability in graphene/hexagonal-boron-nitride/graphene tunneling transistors, achieved through momentum-conserving resonant tunneling of Dirac electrons and tunable via load resistance and electrostatic gating.