Coolant velocity and temperature prediction on MOSFET Case A13_3
1,618.65h_nn (W/m^2K)Physics Informed Neural Networks (PINN)
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Physics Informed Neural Networks (PINN)Trial=1, Heat Input (Qin)=259.2 W, Radius (r)=0.005 mm, Specific Heat Capacity (Cp)=4188.5 J/Kg-K, Density (rho)=999.1 Kg/m3, Input Data=Face and Side Data2026.02 | 1,618.65 | 0.71 | 25.19 | 29.13 | 26.95 | 26.86 | |
| Physics Informed Neural Networks (PINN)Trial=3, Heat Input (Qin)=259.2 W, Radius (r)=0.005 mm, Specific Heat Capacity (Cp)=4188.5 J/Kg-K, Density (rho)=999.1 Kg/m3, Input Data=Face and Side Data2026.02 | 1,600.91 | 0.68 | 25.19 | 29.12 | 26.22 | 26.31 | |
| Physics Informed Neural Networks (PINN)Trial=Mean, Heat Input (Qin)=259.2 W, Radius (r)=0.005 mm, Specific Heat Capacity (Cp)=4188.5 J/Kg-K, Density (rho)=999.1 Kg/m3, Input Data=Face and Side Data2026.02 | 1,587.3 | 0.71 | 25.18 | 29.12 | 26.23 | 26.3 | |
| Physics Informed Neural Networks (PINN)Trial=2, Heat Input (Qin)=259.2 W, Radius (r)=0.005 mm, Specific Heat Capacity (Cp)=4188.5 J/Kg-K, Density (rho)=999.1 Kg/m3, Input Data=Face and Side Data2026.02 | 1,542.34 | 0.73 | 25.16 | 29.09 | 25.54 | 25.74 |