Characterizing Floquet topological phases by quench dynamics: A multiple-subsystem approach

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 […]


Continue.. Characterizing Floquet topological phases by quench dynamics: A multiple-subsystem approach

Phonon vortices at heavy impurities in two-dimensional materials

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 […]


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Can Text-based Knowledge Graph Completion Benefit From Zero-Shot Large Language Models?

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 […]


Continue.. Can Text-based Knowledge Graph Completion Benefit From Zero-Shot Large Language Models?

3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

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 […]


Continue.. 3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

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 […]


Continue.. 3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

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 […]


Continue.. 3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

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 […]


Continue.. 3D Heisenberg universality in the Van der Waals antiferromagnet NiPS$_3$

On the Impact of Cross-Domain Data on German Language Models

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 […]


Continue.. On the Impact of Cross-Domain Data on German Language Models

On the Impact of Cross-Domain Data on German Language Models

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 […]


Continue.. On the Impact of Cross-Domain Data on German Language Models

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou, | Summary: Universal domain adaptation aims to align the classes and reduce the feature gap between the same category of the source and target domains. The target private category is set as the unknown class during the adaptation process, […]


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