Expressing The Density Matrix as Functional Of The Density: How To Profit From Machine Learning?

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Theory-informed AI/ML for Microscopy & Spectroscopy (tentative)

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Deep Variational Quantum Monte Carlo – a way forward for strongly correlated systems?

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Neural Quantum States For Ab Initio Many-Body Electronic Problems

Giuseppe Carleo
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Representation Of Symmetric and Antisymmetric Functions

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Wave function accuracy beyond the mode in variation Monte Carlo

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A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions

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Physical constraints in machine learning models of electronic and atomic interactions

Boris Kozinsky
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Machine Learning Density Functionals

Kieron Burke
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