Published November 19, 2021 | Version v1

dataset where a Convolutional Neural Network controls a part of the TEM optics and OAM sorter

  • 1. CNR-NANO - S3 centre Modena
  • 2. Ernst Ruska-Centre FZJ

Description

Here are uploaded the data collected when we succesfully connected a Convolutional Neural Network to the Holo-TEM in Julich. In particular the CNN controls a part of the TEM optics (beam shift x and y, C3 intensity) and the OAM sorter (the Sorter1 and Sorter 2 bias, in particular it is able to change the S1 bias to perfectly match the phase profile generated from the second sorting element).

Files

Files (3.5 GB)

Name Size
md5:aeadf589750b67e22ffe3d79abe624f2
619.3 MB Download
md5:db46460fb9f587ae2645cea9b89271c8
619.3 MB Download
md5:5af10f34cb7963814b6078772b1ce398
619.3 MB Download
md5:e3d734ebe3af735ef5be72ea7651cb7c
619.3 MB Download
md5:5a425cd86da42265f0f22640233d80f9
206.4 MB Download
md5:6b227fc09d8610f855cd4b0d223519f8
206.4 MB Download
md5:3a2dca0c4a612347417b600c7b1fe4ef
619.3 MB Download

Additional details

Related works

Is referenced by
Preprint: https://arxiv.org/abs/2111.05032 (URL)

Funding

European Commission
Q-SORT - QUANTUM SORTER 766970