4173 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 predicts that strain-tunable multipiezo effects in the Janus monolayer Cr2SSe enable the selective reversal of valley polarization and a single-spin-channel anomalous valley Hall effect, offering a promising pathway for low-power, non-volatile valleytronic and spintronic devices.
This study investigates the spin-phonon behavior and magnetocaloric potential of FeP and FeMnPSi using magnetometry, neutron scattering, and theoretical modeling, revealing that the magnetic transitions are driven by distinct site-specific behaviors and uncorrelated magnetic processes at two length scales, which are well-supported by first-principles calculations.
This paper introduces fractal-inspired lattices that combine long-range periodic order with self-similar hierarchy to enable the exponential scaling of topological boundary states and minigaps, a phenomenon theoretically explained by multi-topological-phase theory and experimentally verified in photonic lattices.
This paper reports the discovery of superconductivity at a transition temperature of approximately 16.3 K in the newly synthesized, non-centrosymmetric layered compound NaVSeO, marking the first realization of superconductivity in an altermagnetic candidate and offering a promising platform for exploring exotic superconducting states and bridging high-temperature superconductor families.
This paper reports the experimental observation of acoustic magneto-chiral anisotropy in -quartz using a high-resolution ultrasound spectrometer, supported by a macroscopic analytical model that explains the effect's magnitude and frequency dependence.
This paper introduces Equitrain, a LoRA-based fine-tuning framework that significantly enhances the accuracy of machine-learning interatomic potentials for predicting phonon and thermal properties across diverse materials using minimal additional training data, outperforming both pretrained and scratch-trained models.
This paper proposes Adversarial Distribution Alignment (ADA), a domain-agnostic framework that bridges the simulation-to-experiment gap by pre-training a generative model on fully observed simulation data and then aligning it with partial experimental observations to recover the target observable distribution.
This paper presents a theoretical framework and experimental validation demonstrating that atomic-level interfacial broadening in (SiGe)m/(Si)m superlattices induces localized energy states that create new optical absorption paths between 2 and 2.5 eV, enabling a non-destructive method to probe interfacial atomic structure.
This paper introduces a novel framework for time-dependent global sensitivity analysis applied to the Doyle-Fuller-Newman battery model, enabling the identification of insensitive parameters and the assessment of model error when those parameters are arbitrarily set, thereby facilitating more efficient simulative research on time-dependent outputs like voltage responses.
This study employs a multi-objective Bayesian optimization framework with an ensemble surrogate model and efficient sampling strategy to successfully identify Pareto-optimal high-entropy alloy compositions that simultaneously achieve high mechanical hardness and soft magnetic properties, overcoming the inherent trade-off between these characteristics.