There are several reasons to use SMA in catalytic research:
Data Smoothing: It helps in smoothing out short-term fluctuations and revealing trends over a longer period. Noise Reduction: It reduces the impact of random noise, making it easier to identify genuine changes in catalyst behavior. Trend Analysis: It helps in understanding the long-term performance and stability of catalysts.
