Computational techniques complement experimental work by providing detailed molecular-level insights that guide experimental design and interpretation. For instance, DFT calculations can predict the activation energy of a reaction, helping to identify the rate-determining step. These predictions can then be tested experimentally to validate the computational models. Additionally, simulations can suggest new materials or conditions to explore experimentally, thereby accelerating the discovery and optimization process.
