19 citations · 99 across the 19 of their papers we have counts for
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Muhammad Luthfi Shahab, Fidya Almira Suheri, Rudy Kusdiantara +1
This paper introduces a framework based on physics-informed neural networks (PINNs) for addressing key challenges in nonlinear lattices, including solution approximation, bifurcati…