Multivariate inputs are crucial because the catalytic performance is often the result of complex interactions between various factors. Single-variable optimization may not capture these interactions, leading to sub-optimal performance. For instance, the activity of a heterogeneous catalyst might be significantly influenced by both the particle size and the support material. Understanding and optimizing these interactions can lead to more efficient and sustainable catalytic processes.
