Generalized persistence of entropy weak solutions for system of hyperbolic conservation laws

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, , , , | Summary: Let $u(t,x)$ be the solution to the Cauchy problem of a scalar conservation law in one space dimension. It is well known that even for smooth initial data the solution can become discontinuous in finite time and global entropy weak […]


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A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation

Kavli Affiliate: Biao Huang | First 5 Authors: Yan Qin, Chau Yuen, Xunyuan Yin, Biao Huang, | Summary: As a significant ingredient regarding health status, data-driven state-of-health (SOH) estimation has become dominant for lithium-ion batteries (LiBs). To handle data discrepancy across batteries, current SOH estimation models engage in transfer learning (TL), which reserves apriori knowledge […]


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Breaking down the magnonic Wiedemann-Franz law in the hydrodynamic regime

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Mamoru Matsuo, , , | Summary: Recent experiments have shown an indication of a hydrodynamic magnon behavior in ultrapure ferromagnetic insulators; however, its direct observation is still lacking. Here, we derive a set of coupled hydrodynamic equations and study the thermal and spin conductivities for […]


Continue.. Breaking down the magnonic Wiedemann-Franz law in the hydrodynamic regime

Breaking down the magnonic Wiedemann-Franz law in the hydrodynamic regime

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Mamoru Matsuo, , , | Summary: Recent experiments have shown an indication of a hydrodynamic magnon behavior in ultrapure ferromagnetic insulators; however, its direct observation is still lacking. Here, we derive a set of coupled hydrodynamic equations and study the thermal and spin conductivities for […]


Continue.. Breaking down the magnonic Wiedemann-Franz law in the hydrodynamic regime

A Learning-Based 3D EIT Image Reconstruction Method

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhaoguang Yi, Zhou Chen, Yunjie Yang, , | Summary: Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approaches focus on 2D EIT image reconstruction. However, when they are directly extended to the 3D […]


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Extensions and approximations of Banach-valued Sobolev functions

Kavli Affiliate: Zheng Zhu | First 5 Authors: Miguel GarcĂ­a-Bravo, Toni Ikonen, Zheng Zhu, , | Summary: In complete metric measure spaces equipped with a doubling measure and supporting a weak Poincar’e inequality, we investigate when a given Banach-valued Sobolev function defined on a subset satisfying a measure-density condition is the restriction of a Banach-valued […]


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Acoustic spin current generation in superconductors

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Ai Yamakage, Mamoru Matsuo, , | Summary: We theoretically study the generation of spin current due to a surface acoustic wave (SAW) in a superconductor. We model an s-wave superconductor as the mean-field Hamiltonian and calculate spin current generated via spin-vorticity coupling based on kinetic […]


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Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation

Kavli Affiliate: Yi Zhou | First 5 Authors: Xiaohang Tang, Yi Zhou, Danushka Bollegala, , | Summary: Dynamic contextualised word embeddings represent the temporal semantic variations of words. We propose a method for learning dynamic contextualised word embeddings by time-adapting a pretrained Masked Language Model (MLM) using time-sensitive templates. Given two snapshots $C_1$ and $C_2$ […]


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Learning Visibility for Robust Dense Human Body Estimation

Kavli Affiliate: Yi Zhou | First 5 Authors: Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou | Summary: Estimating 3D human pose and shape from 2D images is a crucial yet challenging task. While prior methods with model-based representations can perform reasonably well on whole-body images, they often fail when parts of the […]


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A Simple Baseline for Multi-Camera 3D Object Detection

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jie Zhou | Summary: 3D object detection with surrounding cameras has been a promising direction for autonomous driving. In this paper, we present SimMOD, a Simple baseline for Multi-camera Object Detection, to solve the problem. To incorporate multi-view information […]


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