Variational Monte Carlo Calculations of A≤4 Nuclei with an Artificial Neural-Network Correlator Ansatz

Do we know how to count powers in pionless and pionful effective field theory?

(2020) C.-J. Yang   EUROPEAN PHYSICAL JOURNAL A

Machine Learning Quantum States — Extensions to Fermion–Boson Coupled Systems and Excited-State Calculations

(2020) Yusuke Nomura   JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN

Fermionic neural-network states for ab-initio electronic structure

(2020) Kenny Choo et al.   Nature Communications

Atomic Nuclei From Quantum Monte Carlo Calculations With Chiral EFT Interactions

(2020) Stefano Gandolfi et al.   Frontiers in Physics

Nuclear effective field theory: Status and perspectives

(2020) H.-W. Hammer et al.   REVIEWS OF MODERN PHYSICS

Deep-neural-network solution of the electronic Schrödinger equation

(2020) Jan Hermann et al.   Nature Chemistry

Machine learning the deuteron

(2020) J.W.T. Keeble et al.   PHYSICS LETTERS B

Short-range correlations and the charge density

(2019) Ronen Weiss et al.   PHYSICS LETTERS B

Variational Quantum Monte Carlo Method with a Neural-Network Ansatz for Open Quantum Systems

(2019) Alexandra Nagy et al.   PHYSICAL REVIEW LETTERS

Variational Neural-Network Ansatz for Steady States in Open Quantum Systems

(2019) Filippo Vicentini et al.   PHYSICAL REVIEW LETTERS

Neural-Network Approach to Dissipative Quantum Many-Body Dynamics

(2019) Michael J. Hartmann et al.   PHYSICAL REVIEW LETTERS

Exact restoration of Galilei invariance in density functional calculations with quantum Monte Carlo

(2019) Pietro Massella et al.   JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

SchNet – A deep learning architecture for molecules and materials

(2018) K. T. Schütt et al.   JOURNAL OF CHEMICAL PHYSICS

Method to Solve Quantum Few-Body Problems with Artificial Neural Networks

(2018) Hiroki Saito   JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN

Symmetries and Many-Body Excitations with Neural-Network Quantum States

(2018) Kenny Choo et al.   PHYSICAL REVIEW LETTERS

Ground-state properties of 4 He and 16 O extrapolated from lattice QCD with pionless EFT

(2017) L. Contessi et al.   PHYSICS LETTERS B

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

The In-Medium Similarity Renormalization Group: A novel ab initio method for nuclei

(2016) H. Hergert et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Spectra and scattering of light lattice nuclei from effective field theory

(2015) J. Kirscher et al.   PHYSICAL REVIEW C

Effective Field Theory for Lattice Nuclei

(2015) N. Barnea et al.   PHYSICAL REVIEW LETTERS

Quantum Monte Carlo methods for nuclear physics

(2015) J. Carlson et al.   REVIEWS OF MODERN PHYSICS

Coupled-cluster computations of atomic nuclei

(2014) G Hagen et al.   REPORTS ON PROGRESS IN PHYSICS

Self-consistent Green's functions formalism with three-body interactions

(2013) Arianna Carbone et al.   PHYSICAL REVIEW C

Charge Form Factor and Sum Rules of Electromagnetic Response Functions inC12

(2013) A. Lovato et al.   PHYSICAL REVIEW LETTERS

Ab initio no core shell model

(2012) Bruce R. Barrett et al.   PROGRESS IN PARTICLE AND NUCLEAR PHYSICS

Ab InitioCalculation of the Hoyle State

(2011) Evgeny Epelbaum et al.   PHYSICAL REVIEW LETTERS

Chiral effective field theory and nuclear forces

(2011) R. Machleidt et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Modern theory of nuclear forces

(2009) E. Epelbaum et al.   REVIEWS OF MODERN PHYSICS