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Re-Simulation on ScalarFlow

98.18SSIMSciML-HY
93.271294.545695.8297.0944Dec 18, 2024

Evaluation results

MethodLinks
SciML-HYnumber of input training frames=202024.1298.18——
PINFnumber of input training frames=202024.1297.59——
SciML-HYnumber of input training frames=602024.1296.93——
HyFluidnumber of input training frames=202024.1296.78——
SciML-HYnumber of input training frames=402024.1296.77——
HyFluidnumber of input training frames=402024.1296.67——
HyFluidnumber of input training frames=602024.1296.65——
PINFnumber of input training frames=402024.1295.3——
PINFnumber of input training frames=602024.1293.46——
HyFluidnf=202024.12—0.0385—
HyFluidnf=402024.12—0.047—
HyFluidnf=602024.12—0.0637—
HyFluidnf=202024.12——33.89
HyFluidnf=402024.12——33.27
HyFluidnf=602024.12——32.02
PINFnf=202024.12—0.0605—
PINFnf=402024.12—0.0728—
PINFnf=602024.12—0.0889—
PINFnf=202024.12——24.28
PINFnf=402024.12——24.86
PINFnf=602024.12——24.08
SciML-HYnf=202024.12—0.0296—
SciML-HYnf=402024.12—0.0474—
SciML-HYnf=602024.12—0.0565—
SciML-HYnf=202024.12——34.34
SciML-HYnf=402024.12——33.36
SciML-HYnf=602024.12——32.42