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.
This paper elucidates the imaging mechanism of direct coherent X-ray imaging (direct-CXI) on MnBiTe surface nanostructures by demonstrating that the observed real-space images are accurately explained by Fresnel diffraction, thereby confirming the technique's ability to capture phase information without complex retrieval algorithms.
This study demonstrates that the molecule-ferromagnet interface, rather than just the chiral molecules themselves, acts as a crucial "chiral spinterface" with a switchable, remanent magnetic character, thereby identifying the interfacial electronic structure as a previously overlooked key component of the chiral-induced spin selectivity (CISS) effect.
This paper establishes a new geometric paradigm for three-dimensional spin transport by demonstrating that the spin Hall conductivity in nodal-ring semimetals is quantized and scales linearly with the nodal-ring radius, a phenomenon tunable via strain and controlled by the symmetry of spin-orbit coupling.
This paper presents a scalable computational framework combining machine-learned interatomic potentials, the RAFFLE structure-generation tool, and a neural-network surrogate to model over 13,000 realistic hard carbon structures, successfully linking their microstructural features to sodium storage performance and identifying high-capacity anode candidates exceeding 800 mAh g.
This paper presents a data-efficient active learning framework combining a random forest surrogate model with sequential model-based optimization to autonomously navigate the complex, non-linear growth landscape of molecular beam epitaxy, successfully identifying optimal synthesis conditions for the metastable topological Weyl ferromagnet FeSn within just a few iterations.
This study combines first-principles calculations and experimental measurements to establish polarization-dependent Raman selection rules for SbS, enabling reliable phonon mode assignments and demonstrating the technique's sensitivity to crystal orientation and structural order in antimony chalcogenide thin films.
This study combines computational modeling and experimental validation to identify Ce polarons and their complexes as the primary sources of optical decoherence in Er-doped CeO spin qubit platforms, revealing that their photoionization at 0.8 eV drives linewidth broadening and photoluminescence quenching.
By combining time-resolved soft x-ray diffraction with ab-initio calculations, this study demonstrates that the rate of ultrafast angular momentum transfer in 4f antiferromagnets is directly determined by the magnitude of the RKKY interaction, offering a new pathway to fine-tune the speed of magnetic devices by varying 4f occupation.
The study evaluates the spin current relaxation time in thermally evaporated a-NPD films by combining spin-pump-induced transport and electrical properties, estimating a room-temperature value of approximately 1.9 microseconds that confirms the material's potential for practical spintronic applications.
This paper introduces a first-principles computational framework combining the Bethe-Salpeter equation with perturbation theory to model self-trapped excitons, lattice distortions, and related optical properties in insulators and semiconductors, demonstrating its efficacy on chromium trihalides and BeO to guide future experimental studies.