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Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
Machine learning (ML) plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules.
Neural-network preconditioners for solving the Dirac equation in lattice gauge theory
This work develops neural-network--based preconditioners to accelerate solution of the Wilson-Dirac normal equation in lattice quantum field theories.
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