Reduced scaling techniques in catalysis focus on minimizing the computational cost and time required to model catalytic systems. Traditional computational methods, such as Density Functional Theory (DFT) and other quantum mechanical approaches, can become prohibitively expensive when applied to large systems or complex catalytic processes. Reduced scaling techniques aim to retain the accuracy of these high-level methods while making them more practical for larger systems.
