Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness

Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Luo, Yi Zhou, Tao Zhou, , | Summary: Incremental learning (IL) aims to overcome catastrophic forgetting of previous tasks while learning new ones. Existing IL methods make strong assumptions that the incoming task type will either only increases new classes or domains (i.e. Class IL, Domain […]


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The second-order intrinsic Wiedemann-Franz law

Kavli Affiliate: Gang Su | First 5 Authors: Ying-Fei Zhang, Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, | Summary: In recent years, the nonlinear anomalous thermal Hall effect has attracted substantial attention. In this paper, we carry out a theoretical exploration of the intrinsic anomalous thermal Hall and Nernst effect that is induced by the thermal […]


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Gyromagnetic Angular Momentum Interconversion in Neutron Stars

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Hiroshi Funaki, Yuta Sekino, Hiroyuki Tajima, Shota Kisaka, Nobutoshi Yasutake | Summary: We propose a novel mechanism for angular momentum (AM) exchange between the crust and core of a neutron star (NS) via the gyromagnetic effect. Using extended hydrodynamics, we model the star by incorporating macroscopic AM […]


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Energy-Efficient Port Selection and Beamforming Design for Integrated Data and Energy Transfer Assisted by Fluid Antennas

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Yizhe Zhao, Halvin Yang, Guangming Liang, Jie Hu | Summary: Integrated data and energy transfer (IDET) is considered as a key enabler of 6G, as it can provide both wireless energy transfer (WET) and wireless data transfer (WDT) services towards low power devices. Thanks to […]


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OptMetaOpenFOAM: Large Language Model Driven Chain of Thought for Sensitivity Analysis and Parameter Optimization based on CFD

Kavli Affiliate: Long Zhang | First 5 Authors: Yuxuan Chen, Long Zhang, Xu Zhu, Hua Zhou, Zhuyin Ren | Summary: Merging natural language interfaces with computational fluid dynamics (CFD) workflows presents transformative opportunities for both industry and research. In this study, we introduce OptMetaOpenFOAM – a novel framework that bridges MetaOpenFOAM with external analysis and […]


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Beyond Visibility Limits: A DRL-Based Navigation Strategy for Unexpected Obstacles

Kavli Affiliate: Biao Huang | First 5 Authors: Mingao Tan, Shanze Wang, Biao Huang, Zhibo Yang, Rongfei Chen | Summary: Distance-based reward mechanisms in deep reinforcement learning (DRL) navigation systems suffer from critical safety limitations in dynamic environments, frequently resulting in collisions when visibility is restricted. We propose DRL-NSUO, a novel navigation strategy for unexpected […]


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Directional propagation of quantum Hall viscous fluid by nano-structural engineering

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Hiroshi Funaki, Ai Yamakage, Ryotaro Sano, Mamoru Matsuo, | Summary: We present a microscopic theory of the viscous electron fluid in the quantum Hall state based on the nonequilibrium Green’s function method and the von Neumann lattice representation. This approach permits the formulation of hydrodynamic equations in […]


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Accuracy of Wearable ECG Parameter Calculation Method for Long QT and First-Degree A-V Block Detection: A Multi-Center Real-World Study with External Validations Compared to Standard ECG Machines and Cardiologist Assessments

Kavli Affiliate: Cheng Peng | First 5 Authors: Sumei Fan, Deyun Zhang, Yue Wang, Shijia Geng, Kun Lu | Summary: In recent years, wearable devices have revolutionized cardiac monitoring by enabling continuous, non-invasive ECG recording in real-world settings. Despite these advances, the accuracy of ECG parameter calculations (PR interval, QRS interval, QT interval, etc.) from […]


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Enhancement of temperature of quantum anomalous Hall effect in two-dimensional germanene/magnetic semiconductor heterostructures

Kavli Affiliate: Bo Gu | First 5 Authors: Qing-Han Yang, Jia-Wen Li, Xin-Wei Yi, Xiang Li, Jing-Yang You | Summary: Quantum anomalous Hall effect (QAHE) is significant for future low-power electronics devices, where a main challenge is realizing QAHE at high temperatures. In this work, based on experimentally reported two-dimensional (2D) germanene and magnetic semiconductors […]


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