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physics.comp-ph2021
Introduction to Machine Learning for the Sciences
Titus Neupert, Mark H Fischer, Eliska Greplova +2
This is an introductory machine-learning course specifically developed with STEM students in mind. Our goal is to provide the interested reader with the basics to employ machine le…
physics.comp-ph2019★ 248 cited
Fermionic neural-network states for ab-initio electronic structure
Kenny Choo, Antonio Mezzacapo, Giuseppe Carleo
Neural-network quantum states have been successfully used to study a variety of lattice and continuous-space problems. Despite a great deal of general methodological developments,…