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researcher

I. Mukhlash

1 paper hereh-index 9361 citations86 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • math.NA1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

math.NA2026

Do physics-informed neural networks (PINNs) need to be deep? Shallow PINNs using the Levenberg-Marquardt algorithm

Muhammad Luthfi Shahab, Imam Mukhlash, Hadi Susanto

This work investigates shallow physics-informed neural networks (PINNs) for solving forward and inverse problems governed by nonlinear partial differential equations (PDEs). By for…

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