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<p>The introduction of machine-learning (ML) algorithms to quantum mechanics enables rapid
evaluation of otherwise intractable expressions at the cost of prior training on appropriate benchmarks. Many computational bottlenecks in the evaluation of accurate electronic
structure theory could potentially benefit from the application of such models, from reducing the complexity of the underlying wave function parameter space to circumventing the
complications o… Show more
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