Standard physics-informed neural networks reproduce analytic solutions for five coupled Burgers benchmarks with small reported errors, but the paper omits code, training details, and architectures needed to verify or reuse them.
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PINNs Algorithmic Framework for Simulation of Nonlinear Burgers' Type Models
Standard physics-informed neural networks reproduce analytic solutions for five coupled Burgers benchmarks with small reported errors, but the paper omits code, training details, and architectures needed to verify or reuse them.