The default configuration for the MACE model incorporates hidden representations up to the second order, with each order containing 128 features ('128x0e + 128x1o'). Additionally, the radial multilayer perceptron comprises three fully connected layers, each with 64 neurons. However, for experiments with models' sizes that were changed with by varying channel counts, the radial MLP consists of three fully connected layers, each with only 8 neurons, since that was enough to obtain error below 1 kcal/(mol•Å).