Bayesian optimisation

Emulator trained on 20,000 simulated crystallisations benchmarks drug-process optimisation strategies

CMAC researchers trained a crystallisation emulator on more than 20,000 simulated experiments and ran 360 optimisation campaigns on it. The rankings describe a model of one generic process, so process teams get a cheap first comparison of strategies before committing reactor time.