Prismatic 2.0 Simulation software for scanning and high resolution transmission electron microscopy (STEM and HRTEM)
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Luis Rangel DaCosta, Hamish G. Brown, Philipp M. Pelz, Alexander Rakowski, Natolya Barber, Peter O Donovan, Patrick McBean, Lewys Jones, Jim Ciston, M.C. Scott, Colin Ophus, Prismatic 2.0 Simulation software for scanning and high resolution transmission electron microscopy (STEM and HRTEM), Micron, 151, 2021
Abstract
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.
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Sponsor: Science Foundation Ireland (SFI)
Grant Number: URF/RI/191637
Sponsor: Royal Society
Grant Number: URF/RI/191637
Sponsor: U.S. Department of Energy
Grant Number: DE-SC0021110
Sponsor: U.S. Department of Energy
Grant Number: DE-AC02-05CH11231
Sponsor: Other
Grant Number: 17/RC-PhD/3477
Sponsor: U.S. Department of Energy
Sponsor: Other
Author's Homepage: http://people.tcd.ie/mcbeanp
Type of material: Journal Article

