Thermal and Flow Field Prediction on MOSFET Experimental Run Case A12_2 (No data used for training)
912.86h_nn (W/m^2K)Physics Informed Neural Networks
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Physics Informed Neural NetworksTrial=3, Data usage protocol=No data used for training, Input Power (Qin)=259.2 W, Radius (r)=0.005 mm, Density (rho)=999.1 kg/m^3, Specific Heat (Cp)=4188.5 J/kg-K2026.02 | 912.86 | 0.449 | 20.39 | 23.95 | 25.35 | 23.23 | |
| Physics Informed Neural Networks (Mean)Trial=Mean, Data usage protocol=No data used for training, Input Power (Qin)=259.2 W, Radius (r)=0.005 mm, Density (rho)=999.1 kg/m^3, Specific Heat (Cp)=4188.5 J/kg-K2026.02 | 891.4 | 0.403 | 20.29 | 22.13 | 24.22 | 21.41 | |
| Physics Informed Neural NetworksTrial=2, Data usage protocol=No data used for training, Input Power (Qin)=259.2 W, Radius (r)=0.005 mm, Density (rho)=999.1 kg/m^3, Specific Heat (Cp)=4188.5 J/kg-K2026.02 | 887.08 | 0.389 | 20.27 | 19.75 | 22.2 | 20.17 | |
| Physics Informed Neural NetworksTrial=1, Data usage protocol=No data used for training, Input Power (Qin)=259.2 W, Radius (r)=0.005 mm, Density (rho)=999.1 kg/m^3, Specific Heat (Cp)=4188.5 J/kg-K2026.02 | 874.26 | 0.37 | 20.19 | 22.69 | 25.11 | 20.82 | |
| Physics Informed Neural Networks (Std)Trial=Std, Data usage protocol=No data used for training, Input Power (Qin)=259.2 W, Radius (r)=0.005 mm, Density (rho)=999.1 kg/m^3, Specific Heat (Cp)=4188.5 J/kg-K2026.02 | 19.66 | 0.041 | 0.1 | 2.15 | 1.75 | 1.61 |