First NQS variational Monte Carlo calculation of excited states in A=4 nuclei and hypernuclei, reproducing benchmarks and providing the first ab initio M1 transition strength for ^{4}_ΛH consistent with weak-coupling limit at 1.3% suppression.
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Neural network wavefunctions enable variational calculations that reproduce asymptotic freedom, dynamical mass generation, and step-scaling in the 2D nonlinear sigma model.
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Neural-network excited states of $A=4$ nuclei and hypernuclei
First NQS variational Monte Carlo calculation of excited states in A=4 nuclei and hypernuclei, reproducing benchmarks and providing the first ab initio M1 transition strength for ^{4}_ΛH consistent with weak-coupling limit at 1.3% suppression.
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Neural Wavefunctions in Quantum Field Theory I: Asymptotic Freedom
Neural network wavefunctions enable variational calculations that reproduce asymptotic freedom, dynamical mass generation, and step-scaling in the 2D nonlinear sigma model.