Ab-initio quantum chemistry with neural-network wavefunctions
Frontiers Machine learning meets quantum mechanics in catalysis
PDF] A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Prediction of electronic properties with SchNOrb. a Illustration
Quantum chemical accuracy from density functional approximations
Synergy between deep neural networks and the variational Monte
Autoregressive neural-network wavefunctions for ab initio quantum
PDF] Supplementing Recurrent Neural Network Wave Functions with
PDF] Ab-Initio Solution of the Many-Electron Schrödinger Equation