Himanshu Kumar Dwivedi
Orcid: 0000-0002-2829-8764
According to our database1,
Himanshu Kumar Dwivedi authored at least 10 papers
between 2024 and 2026.
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Bibliography
2026
Alikhanov-XfPINNs: Adaptive Physics-Informed Learning for Nonlinear Fractional PDEs on Nonuniform Meshes.
CoRR, May, 2026
Nonuniform Tempered Alikhanov Scheme for Fractional Allen-Cahn Equations with Discrete Maximum Principle.
J. Sci. Comput., April, 2026
An accelerated Alikhanov-DeepONet operator learning framework for time-fractional phase-field models.
J. Comput. Appl. Math., 2026
Structure-preserving conservative phase-amplitude PINNs for semiclassical Schrödinger-type equations.
J. Comput. Appl. Math., 2026
An alternating direction implicit method for 2D nonlinear Schrödinger equation with accelerated evaluation of Caputo derivative.
Appl. Math. Comput., 2026
Finite difference/deep learning scheme for tempered fractional generalized Burgers' equations with fast evaluation of Caputo derivative.
Appl. Math. Comput., 2026
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2026
2025
A novel fast second order approach with high-order compact difference scheme and its analysis for the tempered fractional Burgers equation.
Math. Comput. Simul., 2025
A novel accelerated tempered algorithm with nonuniform time-stepping compact ADI scheme for 2D tempered-fractional nonlinear Schrödinger equations with weak initial singularity.
Comput. Math. Appl., 2025
2024
A novel fast tempered algorithm with high-accuracy scheme for 2D tempered fractional reaction-advection-subdiffusion equation.
Comput. Math. Appl., 2024