Understanding the excited state properties of molecules helps describe how they interact with light. These photochemical interactions can include fundamental processes such as photosynthesis, human vision, 2 or photostability . Photochemistry is also important in designing new molecules with certain properties, for example spectral converters for photovoltaics, which are of particular interest in this study. Using an interplay between their excited states, certain molecules can up-or down-convert wavelengths of light to improve photovoltaic efficiency. Unfortunately, existing spectral conversion molecules have low efficiency, so further exploration is required. It is difficult to explore the excited state space of molecules with experimental methods alone, so researchers often turn to computational methods for more detailed study. Traditionally, time-dependent density functional theory (TD-DFT) has been the workhorse for excited state energy calculations. However, TD-DFT can be computationally intensive, and for applications in high-throughput screening or generative design, a faster method must be used.