“…25 In particular, TSEMO has been widely utilized to solve various multi-objective problems including optimization of reaction conditions, [26][27][28][29] solvent selection, 30 optimization including life-cycle assessment, 31 and distributed self-driving laboratories. 32 Algorithmic optimization of the process parameters of an ultra-fast lithium-halogen exchange reaction via Bayesian optimization has recently been demonstrated by Ahn and coworkers. 16 A single-objective optimization approach was used, which provided limited information about the trade-offs between the conflicting objectives (yield vs. impurity) and the influence of the different process parameters on the target objectives.…”