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K
Kailiang Wu
southern university of science and technology
16
H指数
74
论文数
1.1K
被引数
0
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31
发表时间
发表时间
IF
被引数
GQL-based physical-constraint-preserving high-order finite difference schemes for special relativistic hydrodynamics in arbitrary dimensions
基于GQL的保持物理约束的高阶有限差分格式用于任意维度的特殊相对论流体动力学
Journal of Computational Physics
IF
3.8
2026-07-01
0
PRE
AI
Xu, Linfeng; Ding, Shengrong; Wu, Kailiang
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Learning missing physics from legacy simulators with alternating neural integrators
利用交替神经网络积分器从历史模拟器中学习缺失的物理信息
Nature Communications
IF
15.7
2026-06-23
0
OA
AI
Hao Wang; Qinghe Wang; Caiyou Yuan; Kailiang Wu
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Bound-Preserving Point-Average-Moment PolynomiAl-Interpreted (PAMPA) Scheme: One-Dimensional Case
Communications in Computational Physics
IF
3.1
2026-01-01
1
PRE
AI
Abgrall, Remi; Jiao, Miaosen; Liu, Yongle; Wu, Kailiang
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Provably Positivity-Preserving Constrained Transport Scheme for 2D and 3D Ideal Magnetohydrodynamics
可证明的正性保持约束输运格式用于二维和三维理想磁流体动力学
Journal of Computational Physics
IF
3.8
2025-08-20
0
PRE
AI
Dongwen pang; Kailiang wu
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Divergence-free finite volume WENO scheme for relativistic magnetohydrodynamics preserving positivity and subluminal velocity
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
IF
4.8
2025-02-14
0
OA
AI
Ding, Shengrong; Wu, Kailiang; Yuan, Caiyou
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Uniformly high-order bound-preserving OEDG schemes for two-phase flows
两相流的一致高阶保界OEDG方案
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
IF
3
2024-09-24
4
PRE
AI
Yan, Ruifang; Abgrall, Remi; Wu, Kailiang
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Provably convergent Newton-Raphson methods for recovering primitive variables with applications to physical-constraint-preserving Hermite WENO schemes for relativistic hydrodynamics
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2024-02-01
3
OA
AI
Cai, Chaoyi; Qiu, Jianxian; Wu, Kailiang
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A NEW DISCRETELY DIVERGENCE-FREE POSITIVITY-PRESERVING HIGH-ORDER FINITE VOLUME METHOD FOR IDEAL MHD EQUATIONS
理想MHD方程的一种新的离散无散度正保高阶有限体积法
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF
2.6
2024-01-12
4
OA
AI
Ding, Shengrong; Wu, Kailiang
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Deep-OSG: Deep learning of operators in semigroup
Deep-OSG: 半群中算子的深度学习
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-11-01
2
OA
AI
Chen, Junfeng; Wu, Kailiang
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On high order positivity-preserving well-balanced finite volume methods for the Euler equations with gravitation
关于具有引力的Euler方程的高阶正性保持良好平衡的有限体积方法
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-11-01
2
OA
AI
Ren, Yupeng; Wu, Kailiang; Qiu, Jianxian; Xing, Yulong
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High order asymptotic preserving finite difference WENO schemes with constrained transport for MHD equations in all sonic Mach numbers
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-09-01
9
OA
AI
Chen, Wei; Wu, Kailiang; Xiong, Tao
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Is the classic convex decomposition optimal for bound-preserving schemes in multiple dimensions?
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-03-01
13
OA
AI
Cui, Shumo; Ding, Shengrong; Wu, Kailiang
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A physical-constraint-preserving finite volume WENO method for special relativistic hydrodynamics on unstructured meshes
非结构网格上狭义相对论流体动力学的物理约束保持有限体积WENO方法
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2022-10-01
14
OA
AI
Chen, Yaping; Wu, Kailiang
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Positivity-preserving well-balanced central discontinuous Galerkin schemes for the Euler equations under gravitational fields
引力场下欧拉方程的保持正平衡的中央不连续Galerkin格式
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2022-08-01
5
OA
AI
Jiang, Haili; Tang, Huazhong; Wu, Kailiang
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Deep neural network modeling of unknown partial differential equations in nodal space
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2022-01-01
28
OA
AI
Chen, Zhen; Churchill, Victor; Wu, Kailiang; Xiu, Dongbin
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UNIFORMLY HIGH-ORDER STRUCTURE-PRESERVING DISCONTINUOUS GALERKIN METHODS FOR EULER EQUATIONS WITH GRAVITATION: POSITIVITY AND WELL-BALANCEDNESS
用于具有引力的EULER方程的一致高阶结构保持不连续GALERKIN方法: 正性和良好平衡性
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF
2.6
2021-02-01
19
OA
AI
Wu, Kailiang; Xing, Yulong
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ENTROPY SYMMETRIZATION AND HIGH-ORDER ACCURATE ENTROPY STABLE NUMERICAL SCHEMES FOR RELATIVISTIC MHD EQUATIONS
相对论MHD方程的熵对称化和高阶精确熵稳定数值格式
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF
2.6
2020-07-22
23
OA
AI
Wu, Kailiang; Shu, Chi-Wang
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Data-driven deep learning of partial differential equations in modal space
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2020-05-01
125
OA
AI
Wu, Kailiang; Xiu, Dongbin
分享
收藏
Data driven governing equations approximation using deep neural networks
基于深度神经网络的数据驱动控制方程逼近
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2019-10-01
200
OA
AI
Qin, Tong; Wu, Kailiang; Xiu, Dongbin
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Numerical aspects for approximating governing equations using data
使用数据逼近控制方程的数值方面
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2019-05-01
55
OA
AI
Wu, Kailiang; Xiu, Dongbin
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研究方向
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合作学者
合作期刊
Chi-Wang Shu
(Chi‐Wang Shu)
H 指数: 108 · 论文数: 769
D
Dongbin Xiu
H 指数: 44 · 论文数: 251
R
Rémi Abgrall
H 指数: 42 · 论文数: 450
Y
Yupeng Ren
H 指数: 42 · 论文数: 274
J
Jianxian Qiu
H 指数: 37 · 论文数: 185
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