Artificial intelligence for artificial materials: moir'e atom
Not on the map. Why?
Abstract (arXiv)
Moir'e engineering in atomically thin van der Waals heterostructures creates artificial quantum materials with designer properties. We solve the many-body problem of interacting electrons confined to a moir'e superlattice potential minimum (the moir'e atom) using a 2D fermionic neural network. We show that strong Coulomb interactions in combination with the anisotropic moir'e potential lead to striking ``Wigner molecule" charge density distributions observable with scanning tunneling microscopy.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 17 of its 78 references that are in the map. First posted on arXiv 14 Mar 2023.
Builds on
17 of 78 references.
References · 17
- 2015Optimizing Neural Networks with Kronecker-factored Approximate Curvaturecited by 776
- 2019Ab-Initio Solution of the Many-Electron Schr"odinger Equation with Deep Neural Networkscited by 195
- 2019Deep neural network solution of the electronic Schr"odinger equationcited by 124
- 2019Deep autoregressive models for the efficient variational simulation of many-body quantum systemscited by 64
- 2018Quantum Entanglement in Deep Learning Architecturescited by 49
- 2017Neural-Network Quantum States, String-Bond States, and Chiral Topological Statescited by 31
- 2020Gauge equivariant neural networks for quantum lattice gauge theoriescited by 27
- 2022Discovering Quantum Phase Transitions with Fermionic Neural Networkscited by 25
- 2021Solving the electronic Schr"odinger equation for multiple nuclear geometries with weight-sharing deep neural networkscited by 22
- 2021Neural tensor contractions and the expressive power of deep neural quantum statescited by 21
- 2022Electronic excited states in deep variational Monte Carlocited by 21
- 2021Ab-initio study of interacting fermions at finite temperature with neural canonical transformationcited by 16
5 more
- 2020Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum statescited by 15
- 2022Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulationcited by 11
- 2022Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctionscited by 10
- 2021Spacetime Neural Network for High Dimensional Quantum Dynamicscited by 9
- 2021Infinite Neural Network Quantum States: Entanglement and Training Dynamicscited by 4
Built on by
Citing papers per year: 2023: 1.
1 paper.