Spectroscopic Feature of Quantum Many-Body Scar States

Kavli Affiliate: Long Zhang | First 5 Authors: Wenjie Wei, Long Zhang, , , | Summary: We study the dynamical correlations of nonintegrable systems with quantum many-body scar (QMBS) states generated by a ladder operator. The spectral function of the ladder operator has an exact $delta$-function peak induced by the QMBS states. As a concrete […]


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Emergent quantum disordered phase in Na$_2$Co$_2$TeO$_6$ under intermediate magnetic field along $c$ axis

Kavli Affiliate: Gang Su | First 5 Authors: Xu-Guang Zhou, Han Li, Chaebin Kim, Akira Matsuo, Kavita Mehlawat | Summary: Identifying the exotic quantum spin liquid phase in Kitaev magnets has garnered great research interests and remains a significant challenge. In experiments, most of the proposed candidate materials exhibit an antiferromagnetic (AFM) order at low […]


Continue.. Emergent quantum disordered phase in Na$_2$Co$_2$TeO$_6$ under intermediate magnetic field along $c$ axis

Intrinsic Second Order Spin Current

Kavli Affiliate: Gang Su | First 5 Authors: Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, , | Summary: In recent years, nonlinear Hall effect has attracted great attention with three different terms contributed by Drude effect, Berry curvature dipole and Berry connection polarizability. In this work, we theoretically predict an intrinsic second order spin current induced […]


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Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

Kavli Affiliate: Yi Zhou | First 5 Authors: Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sören Pirk | Summary: We present Perm, a learned parametric model of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global hair shape and local strand details, we propose to disentangle […]


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Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

Kavli Affiliate: Yi Zhou | First 5 Authors: Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sören Pirk | Summary: We present Perm, a learned parametric model of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global hair shape and local strand details, we propose to disentangle […]


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Global Well-posedness for Incompressible Hookean Elastodynamics in the Critical Besov Spaces

Kavli Affiliate: Yi Zhou | First 5 Authors: Zexian Zhang, Yi Zhou, , , | Summary: We identify the wave maps type nonlinearities of incompressible Hookean elastodynamics euqations in Lagerangian coordinates, and iterate them in the adapted $U^2$-type spaces to prove the small data global well-posedness in the critical Besov space $dot{B}^{frac{n}{2}+1}_{2,1}(mathbb{R}^n)times dot{B}^{frac{n}{2}}_{2,1}(mathbb{R}^n) (nge 2)$. […]


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Large Nernst Effect in a layered metallic antiferromagnet EuAl$_2$Si$_2$

Kavli Affiliate: Long Zhang | First 5 Authors: Kunya Yang, Wei Xia, Xinrun Mi, Yiyue zhang, Long zhang | Summary: The large Nernst effect is advantageous for developing transverse Nernst thermoelectric generators or Ettingshausen coolers within a single component, avoiding the complexity of electron- and hole-modules in longitudinal Seebeck thermoelectric devices. We report a large […]


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A Faster Branching Algorithm for the Maximum $k$-Defective Clique Problem

Kavli Affiliate: Yi Zhou | First 5 Authors: Chunyu Luo, Yi Zhou, Zhengren Wang, Mingyu Xiao, | Summary: A $k$-defective clique of an undirected graph $G$ is a subset of its vertices that induces a nearly complete graph with a maximum of $k$ missing edges. The maximum $k$-defective clique problem, which asks for the largest […]


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Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience

Kavli Affiliate: Yi Zhou | First 5 Authors: Zeyu Wang, Weichen Dai, Xiangyu Zhou, Ji Qi, Yi Zhou | Summary: Vision Transformer and its variants have been adopted in many visual tasks due to their powerful capabilities, which also bring significant challenges in computation and storage. Consequently, researchers have introduced various compression methods in recent […]


Continue.. Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience