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Understanding and eliminating spurious modes in variational Monte Carlo using collective variables
The use of neural network parametrizations to represent the ground state in variational Monte Carlo (VMC) calculations has generated intense interest in recent years.
Dynamical correlation energy of metals in large basis sets from downfolding and composite approaches
In a common "composite" method, MP2 is used to recover the missing dynamical correlation energy through a focal-point correction, but the inadequacy of MP2 for metals raises questions about this approach.
Materials Science Chemical Physics
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