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Conservation laws reveal how modern neural architectures maintain implicit biases during training, shedding light on their remarkable performance.
Exploiting Hamiltonian symmetries can significantly reduce the computational burden of electronic structure calculations, offering a more efficient path to accurate molecular simulations.
