Computational scanning tunneling microscope image database
Measurement(s) material entity • 2-dimensional material Technology Type(s) Scanning Tunneling Microscopy • density functional theory Factor Type(s) exfoliable 2D material Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13573820
Enregistré dans:
Auteurs principaux: | Kamal Choudhary, Kevin F. Garrity, Charles Camp, Sergei V. Kalinin, Rama Vasudevan, Maxim Ziatdinov, Francesca Tavazza |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/5c968b70d28144ef86f7f08522448953 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Database of Wannier tight-binding Hamiltonians using high-throughput density functional theory
par: Kevin F. Garrity, et autres
Publié: (2021) -
Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality
par: Rama K. Vasudevan, et autres
Publié: (2021) -
Nanoscale assembly of superconducting vortices with scanning tunnelling microscope tip
par: Jun-Yi Ge, et autres
Publié: (2016) -
Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control
par: Sergei V. Kalinin, et autres
Publié: (2021) -
Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering
par: Mark P. Oxley, et autres
Publié: (2021)