277 citations
- Chinese Academy of SciencesCN122 papers
- University of Chinese Academy of SciencesCN68 papers
- Bulgarian Academy of SciencesBG65 papers
- State Key Laboratory of Nonlinear Mechanics17 papers
- Lanzhou UniversityCN15 papers
- University of California, Los AngelesUS12 papers
- University of StuttgartDE12 papers
- Georgi Nadjakov Institute of Solid State PhysicsBG11 papers
- Joint Institute for Nuclear ResearchRU11 papers
- International Centre for Theoretical Physics Asia-PacificCN9 papers
- Max Planck Institute for Intelligent SystemsDE9 papers
- Peking UniversityCN8 papers
18 papers · 1 filter
Obliquely interacting solitary waves and wave wakes in free-surface flows
Lei Hu, Xudan Luo, Zhan Wang
This paper investigates the weakly nonlinear isotropic bi-directional Benney--Luke (BL) equation, which is used to describe oceanic surface and internal waves in shallow water, wit…
Accelerating Stochastic Gravitational Wave Backgrounds Parameter Estimation in Pulsar Timing Arrays with Flow Matching
Bo Liang, Chang Liu, Tianyu Zhao +9
\Acp{PTA} are essential tools for detecting the \ac{SGWB}, but their analysis faces significant computational challenges. Traditional methods like \ac{MCMC} struggle with high-dime…
Spotting structural defects in crystals from the topology of vibrational modes
Long-Zhou Huang, Yun-Jiang Wang, Matteo Baggioli
Because of the inevitably disordered background, structural defects are not well-defined concepts in amorphous solids. In order to overcome this difficulty, it has been recently pr…
Instability in centrifugally stable shear flows
Kengo Deguchi, Ming Dong
We investigate the linear instability of flows that are stable according to Rayleigh's criterion for rotating fluids. Using Taylor-Couette flow as a primary test case, we develop l…
MGNN: Moment Graph Neural Network for Universal Molecular Potentials
Jian Chang, Shuze Zhu
The quest for efficient and robust deep learning models for molecular systems representation is increasingly critical in scientific exploration. The advent of message passing neura…
A wall model for separated flows: embedded learning to improve a posteriori performance
Zhideng Zhou, Xin-lei Zhang, Guo-wei He +1
The development of a wall model using machine learning methods for the large-eddy simulation (LES) of separated flows is still an unsolved problem. Our approach is to leverage the…