Prismatic 2.0 - Simulation software for scanning and high resolution transmission electron microscopy (STEM and HRTEM).
Electron scattering
Open source
Scanning transmission electron microscopy
Simulation
Transmission electron microscopy
Journal
Micron (Oxford, England : 1993)
ISSN: 1878-4291
Titre abrégé: Micron
Pays: England
ID NLM: 9312850
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
received:
31
05
2021
revised:
20
08
2021
accepted:
22
08
2021
pubmed:
25
9
2021
medline:
25
9
2021
entrez:
24
9
2021
Statut:
ppublish
Résumé
Scanning transmission electron microscopy (STEM), where a converged electron probe is scanned over a sample's surface and an imaging, diffraction, or spectroscopic signal is measured as a function of probe position, is an extremely powerful tool for materials characterization. The widespread adoption of hardware aberration correction, direct electron detectors, and computational imaging methods have made STEM one of the most important tools for atomic-resolution materials science. Many of these imaging methods rely on accurate imaging and diffraction simulations in order to interpret experimental results. However, STEM simulations have traditionally required large calculation times, as modeling the electron scattering requires a separate simulation for each of the typically millions of probe positions. We have created the Prismatic simulation code for fast simulation of STEM experiments with support for multi-CPU and multi-GPU (graphics processing unit) systems, using both the conventional multislice and our recently-introduced PRISM method. In this paper, we introduce Prismatic version 2.0, which adds many new algorithmic improvements, an updated graphical user interface (GUI), post-processing of simulation data, and additional operating modes such as plane-wave TEM. We review various aspects of the simulation methods and codes in detail and provide various simulation examples. Prismatic 2.0 is freely available both as an open-source package that can be run using a C++ or Python command line interface, or GUI, as well within a Docker container environment.
Identifiants
pubmed: 34560356
pii: S0968-4328(21)00132-3
doi: 10.1016/j.micron.2021.103141
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103141Informations de copyright
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.