Intercalation-Induced Near Room-Temperature Ferromagnetism in CrI3 via Synergistic Exchange Pathways

Kavli Affiliate: Gang Su | First 5 Authors: Qing-Han Yang, Qing-Han Yang, , , | Summary: The development of room-temperature magnetic semiconductors is critical for advancing spintronic technologies, yet van der Waals magnets like CrI3 exhibit intrinsically low Curie temperatures (Tc = 45 K). This study employs first-principles calculations to demonstrate that atom intercalation, particularly […]


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Universal Magnetocaloric Effect near Quantum Critical Point of Magnon Bose-Einstein Condensation

Kavli Affiliate: Gang Su | First 5 Authors: Junsen Xiang, Junsen Xiang, , , | Summary: Bose-Einstein condensation (BEC), a macroscopic quantum phenomenon arising from phase coherence and bosonic statistics, has been realized in quantum magnets. Here, we report the observation of a universal magnetocaloric effect (MCE) near a BEC quantum critical point (QCP) in […]


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AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Kavli Affiliate: Yi Zhou | First 5 Authors: Dongwei Ji, Dongwei Ji, , , | Summary: Industrial anomaly detection (IAD) is critical for manufacturing quality control, but conventionally requires significant manual effort for various application scenarios. This paper introduces AutoIAD, a multi-agent collaboration framework, specifically designed for end-to-end automated development of industrial visual anomaly detection. […]


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BubbleOKAN: A Physics-Informed Interpretable Neural Operator for High-Frequency Bubble Dynamics

Kavli Affiliate: Cheng Peng | First 5 Authors: Yunhao Zhang, Yunhao Zhang, , , | Summary: In this work, we employ physics-informed neural operators to map pressure profiles from an input function space to the corresponding bubble radius responses. Our approach employs a two-step DeepONet architecture. To address the intrinsic spectral bias of deep learning […]


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High-resolution magnetic imaging by mapping the locally induced anomalous Nernst effect using atomic force microscopy

Kavli Affiliate: Zheng Zhu | First 5 Authors: , , , , | Summary: We report a magnetic imaging method using atomic force microscopy to measure the locally induced anomalous Nernst effect. The tip contact creates a local temperature gradient on the sample surface controlled by a neighboring Joule heating wire. We demonstrate the imaging […]


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Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots

Kavli Affiliate: Zheng Zhu | First 5 Authors: Wei Cui, Wei Cui, , , | Summary: Humanoid robot technology is advancing rapidly, with manufacturers introducing diverse heterogeneous visual perception modules tailored to specific scenarios. Among various perception paradigms, occupancy-based representation has become widely recognized as particularly suitable for humanoid robots, as it provides both rich […]


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The First Day of a Type Ia Supernova from a Double-Degenerate Binary

Kavli Affiliate: Lars Bildsten | Summary:Supernovae in binary star systems involve a hydrodynamical interaction between the ejecta and a binary companion. This collision results in shock heating and a modified density structure for the ejecta, both of which affect the light curve. As highlighted by Kasen, these considerations are particularly relevant for type Ia supernovae, […]


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HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning

Kavli Affiliate: Long Zhang | First 5 Authors: Li Jun, Li Jun, , , | Summary: Partially Relevant Video Retrieval (PRVR) addresses the critical challenge of matching untrimmed videos with text queries describing only partial content. Existing methods suffer from geometric distortion in Euclidean space that sometimes misrepresents the intrinsic hierarchical structure of videos and […]


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StreamME: Simplify 3D Gaussian Avatar within Live Stream

Kavli Affiliate: Yi Zhou | First 5 Authors: Luchuan Song, Luchuan Song, , , | Summary: We propose StreamME, a method focuses on fast 3D avatar reconstruction. The StreamME synchronously records and reconstructs a head avatar from live video streams without any pre-cached data, enabling seamless integration of the reconstructed appearance into downstream applications. This […]


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