A neural network emulator of convection is modified so its outputs satisfy conservation laws to machine precision while matching unconstrained accuracy within 3%.
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Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems
A neural network emulator of convection is modified so its outputs satisfy conservation laws to machine precision while matching unconstrained accuracy within 3%.