Inorganic perovskites, a class of materials with the general formula ABX3, exhibit a wide range of electronic, dielectric, and structural properties, making them pivotal in energy, electronics, and catalysis applications. Accurate atomistic simulations of these materials require accurate interatomic potentials that capture both short-range and long-range interactions. While first-principles methods are of high accuracy, empirical and machine learning potentials remain essential for large-scale simulations. This survey categorizes and reviews the atomic potentials used in inorganic perovskite modeling based on how they treat electrostatic interactions: potentials without charges, potentials with constant charges, and potentials with variable charges. Given the ionic nature of perovskites, we emphasize the importance of charge treatment, and each class of potentials is discussed in detail with representative examples, functional forms, and application scenarios. For comparison, we perform molecular dynamics simulations to calculate the critical temperature for the phase transition of the perovskite CsPbI3 with available empirical potentials, highlighting their strengths and limitations in capturing structural evolution. Finally, we outline future directions for developing more accurate and transferable atomic potentials for inorganic perovskites. We hope that this review can serve as a guiding resource for researchers who are starting to perform simulations for inorganic perovskites.
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