3525 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 integrates spherical nanoindentation experiments with machine learning-accelerated molecular dynamics simulations to reveal that the equiatomic MoTaW alloy exhibits orientation-dependent plasticity governed by elevated stacking fault energies, resulting in suppressed localized shear and distinct dislocation-mediated deformation mechanisms.
This paper resolves the wide dispersion in reported charge-carrier mobility data for diamond by attributing it to experimental and modeling variables, then benchmarks and recommends specific parameterizations for electrons and holes to improve the accuracy of detector simulations.
Lattice kinetic Monte Carlo simulations demonstrate that the competition between solute advection by point defects and thermal diffusion along dislocations in irradiated binary alloys drives the self-organization of precipitates into distinct nanostructures, such as tubes and quasi-periodic necklaces, with the latter stabilized by heavy-tail power-law distributions in solute redistribution.
This paper demonstrates that integrating analytic approximate Bayesian last-layer neural networks with uncertainty-driven active learning significantly accelerates photonic band gap prediction by reducing the required training data by up to 2.6 times compared to random sampling, thereby enabling more efficient surrogate modeling and inverse design for photonic crystals.
Neutron diffraction studies on single-crystal HoTe3 reveal two distinct antiferromagnetic phases with specific stripe motifs and stacking orders that are decoupled from the charge density wave order, suggesting that the alignment of propagation vectors and single-ion anisotropy are critical for spin-charge coupling in van der Waals systems.
This paper introduces a computationally efficient, two-stage Bayesian calibration framework that combines global stress-strain data with synthetic local grain-scale measurements to uniquely identify crystal plasticity parameters and quantify their uncertainty, thereby overcoming the non-uniqueness and computational cost challenges inherent in traditional calibration methods.
This paper presents a multiscale Monte Carlo model demonstrating that ion sputtering yields from loose powders differ significantly from flat surfaces, being dominated by backward-directed ejecta at non-zero incident angles and exhibiting a universal energy dependence for normal incidence.
This study reveals that ferromagnetic-based magnetoreception is widespread across diverse bee species and non-bee outgroups without phylogenetic signal, while its strength correlates with increased body size and social behavior.
This study reveals that in a non-Hermitian Su-Schrieffer-Heeger chain, the competition between the skin effect and Aubry-André-Harper quasiperiodic disorder generates a unique reentrant delocalization regime and distinct five-phase landscape, while simultaneously destroying point-gap topology and suppressing entanglement entropy.
This paper demonstrates a one-to-one quantum simulation of the frustrated quantum magnet TmMgGaO using a 256-qubit Rydberg-based simulator, achieving quantitative agreement with laboratory magnetisation data to validate the material's microscopic Hamiltonian and enabling the investigation of its antiferromagnetic phase transitions, quantum fluctuations, and non-equilibrium dynamics.