Such constraints are commonly encountered in SDL applications. To demonstrate this constraint type, we use the oer plate a dataset from Olympus, which reports highthroughput screens for oxygen evolution reaction (OER) activity by systematically exploring high-dimensional chemical spaces. The dataset is a discrete library of 2121 catalysts, comprising all unary, binary, ternary and quaternary compositions from unique 6 element sets at 10% intervals. The composition system of the oer plate a dataset is Mn-Fe-Co-Ni-La-Ce. Olympus emulates the discrete dataset with a Bayesian neural network (BNN) to produce noisy virtual measurements. Fractional compositions must lie on the standard 6-