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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FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziqi Ni, Ao Fu, Yi Zhou, , | Summary: Achieving high-fidelity lip-speech synchronization in audio-driven talking portrait synthesis remains challenging. While multi-stage pipelines or diffusion models yield high-quality results, they suffer from high computational costs. Some approaches perform well on specific individuals with low resources, yet still […]


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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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Mean-Shift Distillation for Diffusion Mode Seeking

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Difan Liu | Summary: We present mean-shift distillation, a novel diffusion distillation technique that provides a provably good proxy for the gradient of the diffusion output distribution. This is derived directly from mean-shift mode seeking on the distribution, and […]


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Mean-Shift Distillation for Diffusion Mode Seeking

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Evangelos Kalogerakis | Summary: We present mean-shift distillation, a novel diffusion distillation technique that provides a provably good proxy for the gradient of the diffusion output distribution. This is derived directly from mean-shift mode seeking on the distribution, and […]


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