Abstract: A method and apparatus for extending, customizing and validating a simulation-based digital twin model is described. In an exemplary embodiment, the device transmits a model to a client, where the model is a simulation-based digital twin model. In addition, the device receives a customization to the model, the where the customization adds a functionality to the model. Furthermore, the device deploys the model in a model platform, where the model is used in a simulation with the model platform and the model is coupled with the model platform.

Abstract: A method and apparatus for extending, customizing and validating a simulation-based digital twin model is described. In an exemplary embodiment, the device transmits a model to a client, where the model is a simulation-based digital twin model. In addition, the device receives a customization to the model, the where the customization adds a functionality to the model. Furthermore, the device deploys the model in a model platform, where the model is used in a simulation with the model platform and the model is coupled with the model platform.

Abstract: A method and apparatus for extending, customizing and validating a simulation-based digital twin model is described. In an exemplary embodiment, the device transmits a model to a client, where the model is a simulation-based digital twin model. In addition, the device receives a customization to the model, the where the customization adds a functionality to the model. Furthermore, the device deploys the model in a model platform, where the model is used in a simulation with the model platform and the model is coupled with the model platform.

Abstract: Systems and methods are provided herein for interfacing between a solver and one or more models. Data comprising at least one solver function is received from a solver interface. Data comprising at least one modeling function corresponding to the solver function is provided to a model interface. The presence of an event occurrence is detected based on interface functions. The interface functions are mapped to the at least one solver function and the at least one modeling function. The interface functions are provided to the solver interface to determine a solution. The solution is initiated for rendering on a graphical user interface.

Abstract: A method and apparatus for extending, customizing and validating a simulation-based digital twin model is described. In an exemplary embodiment, the device transmits a model to a client, where the model is a simulation-based digital twin model. In addition, the device receives a customization to the model, the where the customization adds a functionality to the model. Furthermore, the device deploys the model in a model platform, where the model is used in a simulation with the model platform and the model is coupled with the model platform.

Abstract: Systems and methods are provided herein for interfacing between a solver and one or more models. Data comprising at least one solver function is received from a solver interface. Data comprising at least one modeling function corresponding to the solver function is provided to a model interface. The presence of an event occurrence is detected based on interface functions. The interface functions are mapped to the at least one solver function and the at least one modeling function. The interface functions are provided to the solver interface to determine a solution. The solution is initiated for rendering on a graphical user interface.

Abstract: Systems and methods are provided for determining parameters of a power MOSFET model. First data related to characteristics of a semiconductor device in a steady-state operation and second data related to transient-response characteristics of the device are received. Variables of one or more functions are fit to the first data to determine static parameters of a power MOSFET model. A computer simulation is executed to determine transient-response characteristics of the model as configured with a current set of dynamic parameters, where the simulation generates a set of values indicative of the model's transient-response characteristics. An error value indicating a difference between the set of values and the second data is determined. Based on a determination that the error value is greater than the threshold, values of the current set of dynamic parameters are adjusted based on the error value and results of computer simulations.