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Multislice: Literary Connections, Background & Available software

The multislice algorithm is a method for the simulation of the elastic scattering of an electron beam with matter, including all multiple scattering effects. The method is reviewed in the book by John M. Cowley, and also the work by Ishizuka. The algorithm is used in the simulation of high resolution transmission electron microscopy (HREM) micrographs…

Language: English [EN]
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Multislice topic overview

The analysis highlights Literary Connections, Background and Available software as prominent areas in the source structure around Multislice.

Related topics
38
Source areas
6
Connected nodes
44
Extracted relationships
100
Related term clusters
18
Bridge connections
44

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Background · 11 topics
Available software · 9 topics
Extensions · 6 topics
Overview · 5 topics
Practical considerations · 5 topics
Theory · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Background

Theory

Practical considerations

Available software

Extensions

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Multislice connects Entity context

The extracted context around Multislice shows recurring relationship patterns in the source. For example, Multislice → ACEM, C/C, CLI, Cornell University, Earl Kirkland, Fock, Gaussians, Hartree, Java, Kirkland, Lorentzians, The ACEM, The Java Another extracted example is Multislice → CLI, Density Functional Theory, Imaging System, Laurence Marks, Microscope, MICROVB, Northwestern University, NUMIS, PTBV, The Northwestern University Multislice, The NUMIS, UNIX, X-Ray. Use these groups to spot repeated connection types before inspecting the individual relationships.

Multislice

Top relations

related to ACEM/JCSTEM · 13
Multislice → ACEM, C/C, CLI, Cornell University, Earl Kirkland, Fock, Gaussians, Hartree, Java, Kirkland, Lorentzians, The ACEM, The Java
related to NUMIS · 13
Multislice → CLI, Density Functional Theory, Imaging System, Laurence Marks, Microscope, MICROVB, Northwestern University, NUMIS, PTBV, The Northwestern University Multislice, The NUMIS, UNIX, X-Ray
related to Available software · 11
Multislice → Accerlys, Among, Cerius2, Kirkland, Lawrence Berkeley National Lab, MacTempas, Mike O’Keefe, NCEMSS, NUMIS, SHRLI81, Table
related to Electron energy loss and gain spectroscopies: phonons and magnons · 11
Multislice → Building, EEGS, EELS, FMMS, FPMS, Frequency-resolved, FRFPMS, TACAW, TEM/STEM, The TACAW, Time
related to STEM-CELL · 11
Multislice → CNR, Freely, GPA, HAADF, Institute, Italy, Kirkland, Nanoscience, STEM, Tools, Vincenzo Grillo
related to JMULTIS · 8
Multislice → Arizona State University, Bloch, Electron Microdiffraction, FORTRAN, John, Spence, ZnTe, Zuo
related to clTEM · 6
Multislice → Adam Dyson, Jonathan Peters, October, OpenCL, University, Warwick
related to Practical considerations · 6
Multislice → Bloch, Bloch Wave, FFT, FFTs, Fourier, See Table
related to background · 5
Multislice → Bloch, Fourier, Hans Bethe's, Hence, Several
related to Theory · 5
Multislice → Dudarev, Peng, Psi, Schrödinger, Whelan

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

electron method scattering displaystyle algorithm software mathbf written simulation code used available structure effects crystal image wave begin aligned end

Multislice relationships Subject–Predicate–Object triples

TTTA extracted 100 structured relationships around Multislice. Examples in this analysis include phase contrast → instance of → Most of the packages that exist implement the multislice algorithm along with Fourier analysis to incorporate electron lens aberration effects to determine electron microscope i… and inelastic → instance of → for a multislice simulation would result in missing atoms that should be in the crystal potential.Additional practical concerns are how to effectively include effects. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
phase contrastinstance ofMost of the packages that exist implement the multislice algorithm along with Fourier analysis to incorporate electron lens aberration effects to determine electron microscope i…0.80text
diffraction contrastinstance ofMost of the packages that exist implement the multislice algorithm along with Fourier analysis to incorporate electron lens aberration effects to determine electron microscope i…0.80text
inelasticinstance offor a multislice simulation would result in missing atoms that should be in the crystal potential.Additional practical concerns are how to effectively include effects0.80text
diffuse scatteringinstance offor a multislice simulation would result in missing atoms that should be in the crystal potential.Additional practical concerns are how to effectively include effects0.80text
quantized excitationsinstance offor a multislice simulation would result in missing atoms that should be in the crystal potential.Additional practical concerns are how to effectively include effects0.80text
Multislicerelated to ACEM/JCSTEMEarl Kirkland0.60section
Multislicerelated to ACEM/JCSTEMCornell University0.60section
Multislicerelated to ACEM/JCSTEMJava0.60section
Multislicerelated to ACEM/JCSTEMC/C0.60section
Multislicerelated to ACEM/JCSTEMThe Java0.60section
Multislicerelated to ACEM/JCSTEMThe ACEM0.60section
Multislicerelated to ACEM/JCSTEMKirkland0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Multislice bring nearby vocabulary together. In this analysis, examples include Simulation, Electron and Scattering. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Multislice
    • Simulation
    • Electron
    • Scattering
    • Fpms
    • Code
    • Written
    • Developed
    • Also
    • Diffraction
    • Simulations
    • Effects
    • Software
  • multislice
    • Simulation
    • Electron
    • Scattering
    • Fpms
    • Code
    • Written
    • Developed
    • Also
    • Diffraction
    • Simulations
    • Effects
    • Software
  • electron beam
    • Microscopy
    • Method
    • Transmission
    • Diffraction
    • Multislice
    • Crystal
    • Image
    • Developed
    • Structure
    • Simulation
    • Code
    • Scattering
  • transmission electron microscopy
    • Microscopy
    • Transmission
    • Simulations
    • Method
    • Image
    • Diffraction
    • Multislice
    • Used
    • Crystal
    • Simulation
    • Developed
    • Structure
  • electron microscopy
    • Microscopy
    • Transmission
    • Method
    • Diffraction
    • Multislice
    • Simulations
    • Crystal
    • Image
    • Used
    • Simulation
    • Developed
    • Structure
  • electron diffraction
    • Image
    • Microscopy
    • Effects
    • Method
    • Transmission
    • Diffraction
    • Electron
    • Multislice
    • Crystal
    • Developed
    • Structure
    • Simulation
  • electron energy loss spectroscopy
    • Microscopy
    • Method
    • Transmission
    • Diffraction
    • Multislice
    • Crystal
    • Image
    • Developed
    • Structure
    • Simulation
    • Code
    • Scattering
  • electron energy gain spectroscopy
    • Microscopy
    • Method
    • Transmission
    • Diffraction
    • Multislice
    • Crystal
    • Image
    • Developed
    • Structure
    • Simulation
    • Code
    • Scattering

Connections between topic areas Semantic bridges

For Multislice, one of the stronger structural bridges in this analysis connects Multislice with Background. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Multislice — Background · splits 33 ⟂ 12
Multislice — Available software · splits 35 ⟂ 10
Multislice — Extensions · splits 38 ⟂ 7
Multislice — Overview · splits 39 ⟂ 6
Multislice — Practical considerations · splits 39 ⟂ 6
Multislice — Theory · splits 42 ⟂ 3

Map overview Semantic statistics

Multislice

Nodes45
Edges44
Triples100
Avg. degree1.96
Density0.044444
Components1

Source & methodology

TTTA analyzes the structure around Multislice to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Literary Connections, Background & Available software, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Multislice · EN edition · Analysis: TopicsToTalkAbout

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