Systems, methods, and storage media for designing components of a fusion generator are disclosed. Exemplary implementations may: communicate with a plurality of fusion data sources; ingest information from the plurality of disparate information sets; extract desired information from the plurality of disparate information sets; transform the desired information into functional information; load the functional information into a data warehouse; handle unwanted observations from the functional information; perform one or more logic gate processes; feed the one or more training sets of fusion process or fusion generator component information into a machine learning model; and store the machine learning model.