The ideas of structure-preserving and energy-stable numerical schemes developed in the context of the anisotropic Cahn-Hilliard model can indeed be applied to other types of gradient flow problems in computational science and engineering. These numerical schemes provide a framework for designing efficient and accurate algorithms for simulating dynamic systems governed by gradient flows. By preserving the energy stability and mass conservation properties, these schemes offer a reliable approach to modeling various physical phenomena, such as phase transitions, fluid dynamics, and material growth. The concepts of structure preservation and energy stability are fundamental in ensuring the robustness and reliability of numerical simulations in diverse fields, making the developed methods valuable for a wide range of gradient flow problems in computational science and engineering.