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H
Himanshu Kumar Dwivedi
indian institute of technology system
3
H指数
15
论文数
26
被引数
0
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9
发表时间
发表时间
IF
被引数
Meshless operator learning and nonuniform time stepping scheme for subdiffusion problems
无网格算子学习与非均匀时间步进方案用于亚扩散问题
Communications in Nonlinear Science and Numerical Simulation
IF
3.8
2026-10-01
0
PRE
AI
Himanshu Kumar Dwivedi; Xiuwen Li; null Rajeev; Yehui Peng
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WKB-PINNs: Physics-informed neural networks for highly oscillatory Schrödinger–type equations
WKB-PINNs:用于高度振荡薛定谔型方程的物理信息神经网络
PHYSICA D-NONLINEAR PHENOMENA
IF
2.9
2026-09-02
0
PRE
AI
Jinxia Cen; Himanshu Kumar Dwivedi; Shubham Kumar; null Rajeev; Shengda Zeng
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A deep learning WKB-PINNs framework for forward and inverse problems of semiclassical nonlinear Schrödinger equations
基于深度学习的WKB-PINNs框架用于半经典非线性薛定谔方程的正反问题
Communications in Nonlinear Science and Numerical Simulation
IF
3.8
2026-08-01
1
PRE
AI
Kumar, Shubham; Dwivedi, Himanshu Kumar; Rajeev
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Accelerated singularity-aware fractional PINNs for time-fractional phase-field equations: Forward and inverse problems
加速奇点感知分数PINNs用于时间分数相场方程:正问题和反问题
Journal of Computational Science
IF
3.7
2026-07-16
0
PRE
AI
Shubham Kumar; Himanshu Kumar Dwivedi; null Rajeev
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A novel time-discrete physics-informed neural network framework for forward and inverse problems of the 2D tempered fractional generalized Burgers equation
一种用于二维调谐分数广义Burgers方程正反问题的新型时间离散物理信息神经网络框架
COMPUTERS & MATHEMATICS WITH APPLICATIONS
IF
2.5
2026-07-01
0
PRE
AI
Kumar, Shubham; Dwivedi, Himanshu Kumar; Rajeev
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Nonuniform Tempered Alikhanov Scheme for Fractional Allen-Cahn Equations with Discrete Maximum Principle
非均匀缓变Alikhanov格式在满足离散极大值原理的分数阶Allen-Cahn方程中的应用
Journal of Scientific Computing
IF
3.3
2026-03-04
0
PRE
AI
Himanshu Kumar Dwivedi; Rajeev; Shengda Zeng
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Finite difference/deep learning scheme for tempered fractional generalized Burgers’ equations with fast evaluation of Caputo derivative
有限差分/深度学习方案用于求解具有快速Caputo导数计算的衰减分数阶广义Burgers方程
Applied Mathematics and Computation
IF
3.4
2026-02-28
0
PRE
AI
Himanshu Kumar Dwivedi; Yehui Peng; Rajeev Rajeev; Shengda Zeng
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An alternating direction implicit method for 2D nonlinear Schrödinger equation with accelerated evaluation of Caputo derivative
一种用于2D非线性Schrödinger方程的交替方向隐式方法,并加速了Caputo导数的计算
Applied Mathematics and Computation
IF
3.4
2025-12-26
0
PRE
AI
Himanshu Kumar Dwivedi; null Rajeev; Shengda Zeng
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A novel accelerated tempered algorithm with nonuniform time-stepping compact ADI scheme for 2D tempered-fractional nonlinear Schrödinger equations with weak initial singularity
一种具有非均匀时间步长紧致ADI格式的加速温变算法,用于具有弱初始奇异性的二维温变分数阶非线性薛定谔方程
Computers & Mathematics with Applications
IF
2.5
2025-08-05
0
PRE
AI
Himanshu Kumar Dwivedi; null Rajeev
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研究方向
暂时未获取到该数据
合作学者
合作期刊
S
Shengda Zeng
H 指数: 34 · 论文数: 234
R
Rajeev Rajeev
H 指数: 16 · 论文数: 194
彭
彭叶辉
(Yehui Peng)
H 指数: 8 · 论文数: 30
J
Jinxia Cen
H 指数: 8 · 论文数: 59
R
Rajeev
H 指数: 0 · 论文数: 2
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