Artificial intelligence for artificial materials: moiré atom

03/14/2023
by   Di Luo, et al.
0

Moiré 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 moiré superlattice potential minimum (the moiré atom) using a 2D fermionic neural network. We show that strong Coulomb interactions in combination with the anisotropic moiré potential lead to striking “Wigner molecule" charge density distributions observable with scanning tunneling microscopy.

READ FULL TEXT

page 3

page 4

page 5

page 9

research
08/25/2012

Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (2008)

This is the Proceedings of the Twenty-Fourth Conference on Uncertainty i...
research
07/16/2023

Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations

We present a pipeline for predicting mechanical properties of vertically...
research
04/07/2022

Human-AI ecosystem with abrupt changes as a function of the composition

The progressive advent of artificial intelligence machines may represent...
research
06/12/2019

Artificial Intelligence Enabled Material Behavior Prediction

Artificial Intelligence and Machine Learning algorithms have considerabl...
research
09/15/2023

BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials

The study of biological materials and bio-inspired materials science is ...
research
09/30/2021

An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics

Artificial intelligence (AI) promises to reshape scientific inquiry and ...
research
09/08/2019

Artificial intelligence empowered multi-AGVs in manufacturing systems

AGVs are driverless robotic vehicles that picks up and delivers material...

Please sign up or login with your details

Forgot password? Click here to reset