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Equivariant MLIPs can achieve leading inference speeds while maintaining high accuracy, revolutionizing computational materials science workflows.
Switching from Adam to SOAP or SOAP-Muon can dramatically accelerate training and boost accuracy in machine learning interatomic potentials.
