Computational Physics in the AI-era will be the powerhouse for new scientific discovery. With ever increasing computing power boosted with AI technological advancement, it offers greater capability to research computations and significantly reduces the learning cycle time for scientists. For examples, first-principles calculations can take more complicated atomic and molecular structures which may contains more than thousands of atoms rather than limiting to a few hundred. Molecular dynamics modeling can search wider range of energy levels to find the ground date of the crystal structures of new materials. Atomistic level modeling can take complicated and wide ranges of processing conditions, etc.