Xiangyu Hu | DeepAI

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Featured Co-authors

Chi Zhang
179 publications
Nils Thuerey
44 publications
Hao Ma
36 publications
Hao Gao
17 publications
Yuxuan Zhang
17 publications
Dong Wu
8 publications
Kiwon Um
7 publications
Lukas Prantl
6 publications
Shiyu Li
6 publications
Lin Fu
6 publications
Zhe Ji
3 publications

∙ 09/07/2023

An explicit multi-time stepping algorithm for multi-time scale coupling problems in SPH

Simulating physical problems involving multi-time scale coupling is chal...

0 Xiaojing Tang, et al. ∙

∙ 09/06/2023

An SPH formulation for general plate and shell structures with finite deformation and large rotation

In this paper, we propose a reduced-dimensional smoothed particle hydrod...

0 Dong Wu, et al. ∙

∙ 07/12/2022

Level-set based pre-processing algorithm for particle-based methods

Obtaining high quality particle distribution representing clean geometry...

0 Yongchuan Yu, et al. ∙

∙ 11/19/2021

Neural Image Beauty Predictor Based on Bradley-Terry Model

Image beauty assessment is an important subject of computer vision. Ther...

7 Shiyu Li, et al. ∙

∙ 10/06/2021

A multi-order smoothed particle hydrodynamics method for cardiac electromechanics with the Purkinje network

In previous work, Zhang et al. (2021) <cit.> developed an integrated smo...

0 Chi Zhang, et al. ∙

∙ 03/16/2021

A splitting random-choice dynamic relaxation method for smoothed particle hydrodynamics

For conventional smoothed particle hydrodynamics (SPH), obtaining the st...

0 Yujie Zhu, et al. ∙

∙ 02/05/2021

A simple artificial damping method for total Lagrangian smoothed particle hydrodynamics

In this paper, we present a simple artificial damping method to enhance ...

0 Chi Zhang, et al. ∙

∙ 01/13/2021

Reformulated dissipation for the free-stream preserving of the conservative finite difference schemes on curvilinear grids

In this paper, we develop a new free-stream preserving (FP) method for h...

0 Hongmin Su, et al. ∙

∙ 11/20/2020

Perceptual Evaluation of Liquid Simulation Methods

This paper proposes a novel framework to evaluate fluid simulation metho...

0 Kiwon Um, et al. ∙

∙ 09/04/2020

An integrative smoothed particle hydrodynamics framework for modeling cardiac function

Mathematical modeling of cardiac function can provide augmented simulati...

0 Chi Zhang, et al. ∙

∙ 05/16/2020

A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks

With several advantages and as an alternative to predict physics field, ...

0 Hao Ma, et al. ∙

∙ 02/27/2020

A Feature-aware SPH for Isotropic Unstructured Mesh Generation

In this paper, we present a feature-aware SPH method for the concurrent ...

0 Zhe Ji, et al. ∙

∙ 11/21/2019

A multi-resolution SPH method for fluid-structure interactions

In this paper, we present a multi-resolution smoothed particle hydrodyna...

0 Chi Zhang, et al. ∙

∙ 10/18/2018

Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations

With this study we investigate the accuracy of deep learning models for ...

0 Nils Thuerey, et al. ∙

∙ 04/14/2017

Liquid Splash Modeling with Neural Networks

This paper proposes a new data-driven approach for modeling detailed spl...

0 Kiwon Um, et al. ∙

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