Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: To realize room temperature ferromagnetic (FM) semiconductors is still a challenge in spintronics. Many antiferromagnetic (AFM) insulators and semiconductors with high Neel temperature $T_N$ are obtained in experiments, such as LaFeO$_3$, BiFeO$_3$, etc. High concentrations of magnetic impurities […]

Kavli Affiliate: Long Zhang | First 5 Authors: Bei-Bei Wang, Long Zhang, , , | Summary: We investigate the dynamical characterization theory for periodically driven systems in which Floquet topology can be fully detected by emergent topological patterns of quench dynamics in momentum subspaces called band-inversion surfaces. We improve the results of a recent work […]

Kavli Affiliate: Long Zhang | First 5 Authors: Bei-Bei Wang, Long Zhang, , , | Summary: We investigate the dynamical characterization theory for periodically driven systems in which Floquet topology can be fully detected by emergent topological patterns of quench dynamics in momentum subspaces called band-inversion surfaces. We improve the results of a recent work […]

Kavli Affiliate: Gang Su | First 5 Authors: De-Liang Bao, Mingquan Xu, Ao-Wen Li, Gang Su, Wu Zhou | Summary: The advent of monochromated electron energy-loss spectroscopy has enabled atomic-resolution vibrational spectroscopy, which triggered interest in spatially localized or quasi-localized vibrational modes in materials. Here we report the discovery of phonon vortices at heavy impurities […]

Kavli Affiliate: Yi Zhou | First 5 Authors: Rui Yang, Li Fang, Yi Zhou, , | Summary: Text-based knowledge graph completion (KGC) methods, leveraging textual entity descriptions are at the research forefront. The efficacy of these models hinges on the quality of the textual data. This study explores whether enriched or more efficient textual descriptions […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa | Summary: Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. These materials are at the center of a host […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa | Summary: Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. These materials are at the center of a host […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sougata Mardanya, Cheng Peng, Johannes Nokelainen, Tadesse Assefa | Summary: Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. These materials are at the center of a host […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir | Summary: Traditionally, large language models have been either trained on general web crawls or domain-specific data. However, recent successes of generative large language models, have shed light on the benefits of cross-domain datasets. To examine […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir | Summary: Traditionally, large language models have been either trained on general web crawls or domain-specific data. However, recent successes of generative large language models, have shed light on the benefits of cross-domain datasets. To examine […]