Universal tetramer and pentamer in two-dimensional fermionic mixtures

Kavli Affiliate: Cheng Peng | First 5 Authors: Ruijin Liu, Cheng Peng, Xiaoling Cui, , | Summary: We study the emergence of universal tetramer and pentamer bound states in the two-dimensional $(N+1)$ system, which consists $N$ identical heavy fermions interacting with a light atom. We show that the critical heavy-light mass ratio to support a […]


Continue.. Universal tetramer and pentamer in two-dimensional fermionic mixtures

Ferromagnetic resonance modulation in $d$-wave superconductor/ferromagnetic insulator bilayer systems

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Yuya Ominato, Ai Yamakage, Takeo Kato, Mamoru Matsuo, | Summary: We investigate ferromagnetic resonance (FMR) modulation in $d$-wave superconductor (SC)/ferromagnetic insulator (FI) bilayer systems theoretically. The modulation of the Gilbert damping in these systems reflects the existence of nodes in the $d$-wave SC and shows power-law decay […]


Continue.. Ferromagnetic resonance modulation in $d$-wave superconductor/ferromagnetic insulator bilayer systems

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Kavli Affiliate: Zheng Zhu | First 5 Authors: Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, Dalong Du | Summary: Autonomous driving perceives its surroundings for decision making, which is one of the most complex scenarios in visual perception. The success of paradigm innovation in solving the 2D object detection task inspires us to seek […]


Continue.. BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Shaocong Ma, Yi Zhou, , | Summary: Alternating gradient-descent-ascent (AltGDA) is an optimization algorithm that has been widely used for model training in various machine learning applications, which aims to solve a nonconvex minimax optimization problem. However, the existing studies show that it suffers from […]


Continue.. Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vish Nath, Md Mahfuzur Rahman Siddiquee | Summary: Semantic segmentation of 3D medical images is a challenging task due to the high variability of the shape and pattern of objects (such as organs or tumors). Given the recent success of deep […]


Continue.. HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Disordered vector models: from higher spins to incipient strings

Kavli Affiliate: Cheng Peng | First 5 Authors: Chi-Ming Chang, Sean Colin-Ellerin, Cheng Peng, Mukund Rangamani, | Summary: We present a one-parameter family of large $N$ disordered models, with and without supersymmetry, in three spacetime dimensions. They interpolate from the critical large $N$ vector model dual to a classical higher spin theory, towards a theory […]


Continue.. Disordered vector models: from higher spins to incipient strings

Inhomogeneous superconducting states in two weakly linked superconducting ultra thin films

Kavli Affiliate: Yi Zhou | First 5 Authors: Gao-Wei Qiu, Yi Zhou, , , | Summary: A sufficiently large parallel magnetic field will generate staggered supercurrent loops and superfluid density wave in two weakly linked superconducting (SC) ultrathin films, resulting in an inhomogeneous Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) state. The SC order parameter of such an FFLO state […]


Continue.. Inhomogeneous superconducting states in two weakly linked superconducting ultra thin films

Theoretical Prediction of Non-Hermitian Skin Effect in Ultracold Atom Systems

Kavli Affiliate: Fuchun Zhang | First 5 Authors: Sibo Guo, Chenxiao Dong, Fuchun Zhang, Jiangping Hu, Zhesen Yang | Summary: Non-Hermitian skin effect, which refers to the phenomenon that an extensive number of eigenstates are localized at the boundary, has been widely studied in lattice models and experimentally observed in several classical systems. In this […]


Continue.. Theoretical Prediction of Non-Hermitian Skin Effect in Ultracold Atom Systems