Topological spin-orbit-coupled fermions beyond rotating wave approximation

Kavli Affiliate: Long Zhang | First 5 Authors: Han Zhang, Wen-Wei Wang, Chang Qiao, Long Zhang, Ming-Cheng Liang | Summary: The realization of spin-orbit-coupled ultracold gases has driven a wide range of researches and is typically based on the rotating wave approximation (RWA). By neglecting the counter-rotating terms, RWA characterizes a single near-resonant spin-orbit (SO) […]


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Local wellposedness for the quasilinear Schrödinger equations via the generalized energy method

Kavli Affiliate: Yi Zhou | First 5 Authors: Jie Shao, Yi Zhou, , , | Summary: We study the global Cauchy problem of the quasilinear Schr"odinger equations, for which KENIG et al. (Invent Math, 2004; Adv Math, 2006) obtained short time local wellposedness with large data by pseudo-differential techniques and viscosity methods, while MARZUOLA et […]


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Multifield tunable valley splitting in two-dimensional MXene Cr$_2$COOH

Kavli Affiliate: Cheng Peng | First 5 Authors: Ping Li, Chao Wu, Cheng Peng, Mutian Yang, Wei Xun | Summary: Manipulation of the valley degree of freedom provides a novel paradigm in quantum information technology. Here, through first-principles calculations and model analysis, we demonstrate that monolayer Cr$_2$COOH MXene is a promising candidate material for valleytronics […]


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Weak Limit of $W^{1,2}$ Homeomorphisms in $mathbb{R}^3$ Can Have Any Degree

Kavli Affiliate: Zheng Zhu | First 5 Authors: Ondřej Bouchala, Stanislav Hencl, Zheng Zhu, , | Summary: In this paper for every $kinmathbb{Z}$ we construct a sequence of weakly converging homeomorphisms $h_mcolon B(0,10)tomathbb{R}^3$, $h_mrightharpoonup h$ in $W^{1,2}(B(0,10))$, such that $h_m(x)=x$ on $partial B(0,10)$ and for every $rin left(tfrac5{16},tfrac{7}{16}right)$ the degree of $h$ with respect to […]


Continue.. Weak Limit of $W^{1,2}$ Homeomorphisms in $mathbb{R}^3$ Can Have Any Degree

Flow Morphology of a Supersonic Gravitating Sphere

Kavli Affiliate: Lars Bildsten | First 5 Authors: Logan J. Prust, Lars Bildsten, , , | Summary: Stars and planets move supersonically in a gaseous medium during planetary engulfment, stellar interactions and within protoplanetary disks. For a nearly uniform medium, the relevant parameters are the Mach number and the size of the body, $R$, relative […]


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Inhomogeneous quenches as state preparation in two-dimensional conformal field theories

Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Masahiro Nozaki, Kotaro Tamaoka, Mao Tian Tan, , | Summary: The non-equilibrium process where the system does not evolve to the featureless state is one of the new central objects in the non-equilibrium phenomena. In this paper, starting from the short-range entangled state in the two-dimensional conformal […]


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Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection

Kavli Affiliate: Yi Zhou | First 5 Authors: Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou | Summary: The effective detection of evidence of financial anomalies requires collaboration among multiple entities who own a diverse set of data, such as a payment network system (PNS) and its partner banks. Trust among these […]


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Defect two-point functions in 6d (2,0) theories

Kavli Affiliate: Xinan Zhou | First 5 Authors: Junding Chen, Aleix Gimenez-Grau, Xinan Zhou, , | Summary: We consider correlation functions in 6d $(2,0)$ theories of two $frac{1}{2}$-BPS operators inserted away from a $frac{1}{2}$-BPS surface defect. In the large central charge limit the leading connected contribution corresponds to sums of tree-level Witten diagram in AdS$_7times$S$^4$ […]


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DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kaipeng Zhang | Summary: Dataset distillation plays a crucial role in creating compact datasets with similar training performance compared with original large-scale ones. This is essential for addressing the challenges of data storage and training costs. Prevalent methods facilitate […]


Continue.. DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching