Table 1: Cuboid Geometry Enclosure for the Switched Mode Power Supply

Table 2: The Controller Knob is Turned and the Corresponding Voltage Obtained for the Motor

Table 3: Parameters of the Motor

Table 4: Geometry of the Acrylic Slab

Table 5: Geometry of the Switch

Table 6: α Values for the Theory to Obtain the Current in the Motor

Table 7: DC Voltage, Armature Current and Armature Resistance. The Motor Shaft do not Rotate at the Low DC Voltage

Table 8: Parameters of the device

Table 9: Speed and Angular Velocity of the Shaft. The Applied Voltage to the DC Motor is 12 V

Table 10: Simulation Parameters to Model the Motor

Table 11: Current-Voltage Characteristics for the DC Motor Having Rollers. Trial 1, Trial 2, Trial 3 and Trial 4 are the Four Repeats

Table 12: Train data 1 Used for Data Driven in the Neural Network.

Table 13: Test Data Given to Predict the Test Current Using Our Data Driven Neural Network

Table 14: Comparison of Experiments Voltage, Current with the Predicted Results from Data Driven in the Neural Network

Table 15: Comparison of Experiments Obtained Power with the Predicted Power in Watts from the Data Driven in the Neural Network

Table 16: Train Data 1 used for Physics Informed Theory in the Neural Network

Table 17: Test Data Set for Physics Informed Theory in the Neural Network

Table 18: Comparison Between the Provided and Physics Informed Theory in the Neural Network for the Voltage; Current. the Residual and Square of the Residual are Calculated

Table 19: Comparison of Provided and Physics Informed Theory in the Neural Network, Relative Permittivity. The Residual and Square of the Residual are Calculated

Table 20: Train Data 1 Used for Physics Informed Partial Differential Equations in the Neural Network

Table 21: Test Data Set for Physics Informed Partial Differential Equation in the Neural Network

Table 22: Comparison of Provided and Physics Informed Partial Differential Equation in the Neural Network for the Voltage; Current. The Residual and Square of the Residual are Calculated

Table 23: Comparison of the Provided and Physics Informed Partial Differential Equation in the Neural Network for the Gas Constant. The Residual and Square of the Residual are Calculated

Table 24: Comparison Between the Device Experiments with the Theory. We Calculate the Residual and the Square of the Residual

Table 25: Device Experiments and Partial Differential Equations Simulations. We Calculate the Residual and the Square of the Residual

Table 26: Train Set Parameters of the Device

Table 27: Test Set Device Parameters

Table 28: Predict Current with the Device Parameters