Muhammad Luthfi Shahab

h-index

Research activity per year

Fingerprint

Dive into the research topics where Muhammad Luthfi Shahab is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

6 Article
3 Conference article
1 Comment/debate

A finite difference method with symmetry properties for the high-dimensional Bratu equation
Shahab, M. L., Susanto, H. & Hatzikirou, H., 15 Mar 2025, In: Applied Mathematics and Computation. 489, 129136.
Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus)
Corrigendum to “Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations” [Appl. Math. Comput. 483 (2024) 128985] (Applied Mathematics and Computation (2024) 483, (S0096300324004466), (10.1016/j.amc.2024.128985))
Shahab, M. L. & Susanto, H., 15 Jun 2025, In: Applied Mathematics and Computation. 495, 129319.
Research output: Contribution to journal › Comment/debate

Open Access
2 Citations (Scopus)
Physics-informed neural networks for high-dimensional solutions and snaking bifurcations in nonlinear lattices
Shahab, M. L., Suheri, F. A., Kusdiantara, R. & Susanto, H., Nov 2025, In: Physica D: Nonlinear Phenomena. 481, 134836.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
A deep-genetic algorithm (deep-GA) approach for high-dimensional nonlinear parabolic partial differential equations
Putri, E. R. M., Shahab, M. L., Iqbal, M., Mukhlash, I., Hakam, A., Mardianto, L. & Susanto, H., 15 Jan 2024, In: Computers and Mathematics with Applications. 154, p. 120-127 8 p.
Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus)
Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations
Shahab, M. L. & Susanto, H., 15 Dec 2024, In: Applied Mathematics and Computation. 483, 128985.
Research output: Contribution to journal › Article › peer-review

Open Access
7 Citations (Scopus)

Data on Mathematics Discussed by Researchers at Sepuluh Nopember Institute of Technology [A Deep-genetic Algorithm (Deep-ga) Approach for High-dimensional Nonlinear Parabolic Partial Differential Equations]
Putri, E. R. M., Iqbal, M., Mukhlash, I., Hakam, A. & Shahab, M. L.
19/01/24
1 item of Media coverage
Press/Media

Muhammad Luthfi Shahab, S.Si., M.Si.

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A finite difference method with symmetry properties for the high-dimensional Bratu equation

Corrigendum to “Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations” [Appl. Math. Comput. 483 (2024) 128985] (Applied Mathematics and Computation (2024) 483, (S0096300324004466), (10.1016/j.amc.2024.128985))

Physics-informed neural networks for high-dimensional solutions and snaking bifurcations in nonlinear lattices

A deep-genetic algorithm (deep-GA) approach for high-dimensional nonlinear parabolic partial differential equations

Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations

Data on Mathematics Discussed by Researchers at Sepuluh Nopember Institute of Technology [A Deep-genetic Algorithm (Deep-ga) Approach for High-dimensional Nonlinear Parabolic Partial Differential Equations]

Muhammad Luthfi Shahab, S.Si., M.Si.

Fingerprint

Collaborations and top research areas from the last five years

Research output

A finite difference method with symmetry properties for the high-dimensional Bratu equation

Corrigendum to “Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations” [Appl. Math. Comput. 483 (2024) 128985] (Applied Mathematics and Computation (2024) 483, (S0096300324004466), (10.1016/j.amc.2024.128985))

Physics-informed neural networks for high-dimensional solutions and snaking bifurcations in nonlinear lattices

A deep-genetic algorithm (deep-GA) approach for high-dimensional nonlinear parabolic partial differential equations

Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations

Press/Media

Data on Mathematics Discussed by Researchers at Sepuluh Nopember Institute of Technology [A Deep-genetic Algorithm (Deep-ga) Approach for High-dimensional Nonlinear Parabolic Partial Differential Equations]