How physical constraints are applied in engineering neural field models

The article examines the different mathematical outcomes of incorporating physical constraints into the model via architecture, parameterization, or the optimization objective. It proposes a validation protocol demonstrating how the derivatives of exact constraints and optimization success are affected, using examples of elasticity, flow, and heat transfer.