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Systems, methods, and storage media for improving fusion energy output by simulating processes of a shperical tokamak are disclosed. Exemplary implementations may: obtain sets of fusion generator operation information; train a machine-learning model with the obtained sets of component information such that the machine-learning model predicts dynamics of plasma, density of plasma, fuel cycle, magnetic fields, or material interactions in a spherical tokamak; store the trained machine-learning model; and simulate, using the stored machine-learning model, dynamics of plasma, density of plasma, fuel cycle, magnetic fields, or material interactions during operation of the spherical tokamak.

Systems and Methods for Improving Fusion Energy Output by Simulating Processes of a Spherical Tokamak
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