Skip to main content Skip to main navigation menu Skip to site footer
  • Register
  • Login
  • Journals
  • Home
  • Editorial Board
  • Archives
  • Guide for Authors
  • Policies
    • Ethical Policy
    • The Use of Artificial Intelligence Policy
  • About
    • About the Journal
    • Order Journal
    • Contact Us
    • Announcements
  • Register
  • Login
  1. Home /
  2. Search

Search

Advanced filters
Published After
Published Before

Search Results

##search.searchResults.foundPlural##
  • Fast Evaluation of the Caputo Fractional Derivative and Its Applications to Fractional Diffusion Equations

    Shidong Jiang, Jiwei Zhang, Qian Zhang & Zhimin Zhang
    2018-04-09
    52175 3391 Pages:650-678
  • Parareal-Richardson Algorithm for Solving Nonlinear ODEs and PDEs

    Shulin Wu, Baochang Shi & Chengming Huang
    2009-06-01
    37431 4086 Pages:883-902
  • A GPU-Accelerated Cartesian Grid Method for PDEs on Irregular Domain

    Liwei Tan, Minsheng Huang, Shuai Zhu, Pan Wang, Wenjun Ying
    2025-05-29
    8936 544 Pages:1250-1276
  • On the Gauss Runge-Kutta and Method of Lines Transpose for Initial-Boundary Value Parabolic PDEs

    Bo Zhang, Dangxing Chen & Jingfang Huang
    2020-07-31
    42734 3244 Pages:1221-1240
  • Asymptotic Results of Schwarz Waveform Relaxation Algorithm for Time Fractional Cable Equations

    Shu-Lin Wu & Chengming Huang
    2018-10-11
    44419 3452 Pages:390-415
  • Deep Learning-Based Reduced-Order Methods for Fast Transient Dynamics

    Martina Cracco, Giovanni Stabile, Andrea Lario, Armin Sheidani, Martin Larcher, Folco Casadei, Georgios Valsamos, Gianluigi Rozza
    2026-01-03
    1892 137 Pages:635-660
  • A Kolmogorov High Order Deep Neural Network for High Frequency Partial Differential Equations in High Dimensions

    Yaqin Zhang, Ke Li, Zhipeng Chang, Xuejiao Liu, Yunqing Huang, Xueshuang Xiang
    2025-07-11
    5235 749 Pages:181-222
  • Two-Scale Neural Networks for Partial Differential Equations with Small Parameters

    Qiao Zhuang, Chris Ziyi Yao, Zhongqiang Zhang, George Em Karniadakis
    2025-08-23
    6514 584 Pages:603-629
  • Local Discontinuous Galerkin Methods for High-Order Time-Dependent Partial Differential Equations

    Yan Xu & Chi-Wang Shu
    2010-07-01
    42128 4813 Pages:1-46 Open-access
  • A Rate of Convergence of Physics Informed Neural Networks for the Linear Second Order Elliptic PDEs

    Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Fengru Wang, Yang Wang, Jerry Zhijian Yang
    2022-03-30
    51988 3131 Pages:1272-1295
  • Solving Allen-Cahn and Cahn-Hilliard Equations Using the Adaptive Physics Informed Neural Networks

    Colby L. Wight, Jia Zhao
    2021-01-13
    59168 3906 Pages:930-954
  • Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

    Ameya D. Jagtap, George Em Karniadakis
    2020-11-18
    149394 6595 Pages:2002-2041
  • Long-Time Integration of Nonlinear Wave Equations with Neural Operators

    Guanhang Lei, Zhen Lei, Lei Shi
    2026-01-18
    242 59 Pages:1137-1163
  • An Efficient Reduced-Order Model Based on Dynamic Mode Decomposition for Parameterized Spatial High-Dimensional PDEs

    Yifan Lin, Xiang Sun, Jie Nie, Yuanhong Chen, Zhen Gao
    2025-09-02
    11746 904 Pages:575-602
  • Learning Specialized Activation Functions for Physics-Informed Neural Networks

    Honghui Wang, Lu Lu, Shiji Song, Gao Huang
    2023-11-08
    34553 2896 Pages:869-906
  • A Five-Point TENO Scheme with Adaptive Dissipation Based on a New Scale Sensor

    Haohan Huang, Tian Liang, Lin Fu
    2023-05-12
    36116 2926 Pages:1106-1131
  • Nonlinear Reduced DNN Models for State Estimation

    Wolfgang Dahmen, Min Wang, Zhu Wang
    2022-07-06
    42845 3718 Pages:1-40
  • Convergence Rate Analysis for Deep Ritz Method

    Chenguang Duan, Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Jerry Zhijian Yang
    2022-03-30
    58970 3389 Pages:1020-1048
  • An Efficient Operator-Splitting Method for Noise Removal in Images

    D. Krishnan, P. Lin & X.-C. Tai
    2006-01-01
    39486 4020 Pages:847-858
  • Structure-Preserving Numerical Methods for Stochastic Poisson Systems

    Jialin Hong, Jialin Ruan, Liying Sun, Lijin Wang
    2021-01-13
    47408 3382 Pages:802-830
  • DL-PDE: Deep-Learning Based Data-Driven Discovery of Partial Differential Equations from Discrete and Noisy Data

    Hao Xu, Haibin Chang, Dongxiao Zhang
    2021-01-13
    55176 3525 Pages:698-728
  • Multi-Scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains

    Ziqi Liu, Wei Cai, Zhi-Qin John Xu
    2020-11-18
    73856 3682 Pages:1970-2001
  • Preface

    2020-11-18
    245 60 Pages:i-i
  • Improved RBF Collocation Methods for Fourth Order Boundary Value Problems

    C. S. Chen, Andreas Karageorghis, Hui Zheng
    2020-05-06
    50394 3437 Pages:1530-1549
  • A Nonlinear Elimination Preconditioner for Fully Coupled Space-Time Solution Algorithm with Applications to High-Rayleigh Number Thermal Convective Flow Problems

    Haijian Yang & Feng-Nan Hwang
    2019-04-28
    46149 3236 Pages:749-767
  • Hopf Bifurcation and Time Periodic Orbits with pde2path – Algorithms and Applications

    Hannes Uecker
    2018-11-09
    48327 3454 Pages:812-852
  • Bi-Orthogonal fPINN: A Physics-Informed Neural Network Method for Solving Time-Dependent Stochastic Fractional PDEs

    Lei Ma, Rongxin Li, Fanhai Zeng, Ling Guo, George Em Karniadakis
    2023-11-08
    31843 2797 Pages:1133-1176
28 - 54 of 80 items << < 1 2 3 > >> 
Global Science Press
Follow Us
Useful Links
  • Publish with Us
  • Browse Journals
  • Open Access
  • Ethical Policy
  • Terms and Conditions
Resources
  • Publish with Us
  • Partner with Us
  • For Authors
  • For Institutions
  • For Librarians
  • For Agents
  • For Users
  • Editorial Process
About
  • About Global Science Press
  • Contact Us

2009-2025 (C) Copyright Global Science Press, All rights reserved