Given the near-planar nature of most OOMs, our approach begins with an operation that rotates the molecular coordinates closer to the XY plane, utilizing an equivariant rotation matrix transformation. This process aims to improve the training process by aligning with OOMs' intrinsic geometrical properties and facilitating improved comprehension of atomic distributions. We utilize a method based on rotation matrices and Singular Value Decomposition (SVD) for rotating the three-dimensional coordinates of a given molecule to be as near parallel to the x-y plane as possible: