Understanding sample complexity is vital for efficient catalyst development. High sample complexity can make the process resource-intensive and time-consuming. Conversely, low sample complexity can result in inaccurate models, leading to inefficiencies. Balancing these factors is key to achieving optimal results in catalysis research.
