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National Institute of Standards and Technology object oriented micromagnetic framework (oommf) program
( a ) Schematic of ‘U’ shaped branch structure showing the trajectory of clockwise (CW) vortex domain wall (VDW) along the upper branch and anticlockwise (ACW) VDW along the lower branch. ( b ) Scanning electron microscopy (SEM) image of the ‘U-shaped’ branch structure shown in the middle used for studying field induced DW motion. Show on the left is the magnetic force microscopy (MFM) image of the initial magnetization configuration of an array of branch structures when the transverse nanowire and output branch are saturated along the − y and − x direction, respectively. Shown on the right of SEM is the final magnetization configuration of the array structure when a head-to-head clockwise (HH-CW) VDW is injected and driven. The results indicate that the DW selects the output branch randomly. ( c ) <t>Micromagnetic</t> simulations depicting the VDW motion along the + x direction in the branch structure at magnetic field strength of 65 Oe. The DW moves in opposite branches for the two field strengths. ( d ) Relative distribution of successful and failed trials when a DW is propagated in a symmetric structure. The success in a trial implies that the DW follows a selective trajectory governed by its initial chirality.
Object Oriented Micromagnetic Framework (Oommf) Program, supplied by National Institute of Standards and Technology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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1) Product Images from "Direct observation of deterministic domain wall trajectory in magnetic network structures"

Article Title: Direct observation of deterministic domain wall trajectory in magnetic network structures

Journal: Scientific Reports

doi: 10.1038/srep19027

( a ) Schematic of ‘U’ shaped branch structure showing the trajectory of clockwise (CW) vortex domain wall (VDW) along the upper branch and anticlockwise (ACW) VDW along the lower branch. ( b ) Scanning electron microscopy (SEM) image of the ‘U-shaped’ branch structure shown in the middle used for studying field induced DW motion. Show on the left is the magnetic force microscopy (MFM) image of the initial magnetization configuration of an array of branch structures when the transverse nanowire and output branch are saturated along the − y and − x direction, respectively. Shown on the right of SEM is the final magnetization configuration of the array structure when a head-to-head clockwise (HH-CW) VDW is injected and driven. The results indicate that the DW selects the output branch randomly. ( c ) Micromagnetic simulations depicting the VDW motion along the + x direction in the branch structure at magnetic field strength of 65 Oe. The DW moves in opposite branches for the two field strengths. ( d ) Relative distribution of successful and failed trials when a DW is propagated in a symmetric structure. The success in a trial implies that the DW follows a selective trajectory governed by its initial chirality.
Figure Legend Snippet: ( a ) Schematic of ‘U’ shaped branch structure showing the trajectory of clockwise (CW) vortex domain wall (VDW) along the upper branch and anticlockwise (ACW) VDW along the lower branch. ( b ) Scanning electron microscopy (SEM) image of the ‘U-shaped’ branch structure shown in the middle used for studying field induced DW motion. Show on the left is the magnetic force microscopy (MFM) image of the initial magnetization configuration of an array of branch structures when the transverse nanowire and output branch are saturated along the − y and − x direction, respectively. Shown on the right of SEM is the final magnetization configuration of the array structure when a head-to-head clockwise (HH-CW) VDW is injected and driven. The results indicate that the DW selects the output branch randomly. ( c ) Micromagnetic simulations depicting the VDW motion along the + x direction in the branch structure at magnetic field strength of 65 Oe. The DW moves in opposite branches for the two field strengths. ( d ) Relative distribution of successful and failed trials when a DW is propagated in a symmetric structure. The success in a trial implies that the DW follows a selective trajectory governed by its initial chirality.

Techniques Used: Electron Microscopy, Microscopy, Injection

Related Articles

Software:

Article Title: On the relaxation time of interacting superparamagnetic nanoparticles and implications for magnetic fluid hyperthermia
Article Snippet: .. The dynamic magnetic behavior of parallelepiped nanoparticles with specific configurations (reflecting different volume fractions) has been simulated using the object oriented micromagnetic framework [ ], an open source software developed by the National Institute of Standards and Technology. ..

Article Title: Controlling degeneracy and magnetization switching in an artificial spin ice system of peanut-shaped nanomagnets
Article Snippet: .. For it, we have used object oriented micromagnetic framework software from the National Institute of Standards and Technology [45]. ..

other:

Article Title: Probing the limits of the rigid-intensity-shift model in differential-phase-contrast scanning transmission electron microscopy
Article Snippet: Here we work with a simulated specimen of NiFe, with magnetization vectors generated using the Object Oriented MicroMagnetic Framework (OOMMF) software developed at the National Institute of Standards and Technology (NIST) [36].

Article Title: Manipulating Spin Chirality of Magnetic Skyrmion Bubbles by In-Plane Reversed Magnetic Fields in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mi>Mn</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi>Ni</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mo stretchy="false">)</mml:mo><mml:mn>65</mml:mn></mml:msub><mml:msub><mml:mi>Ga</mml:mi><mml:mn>35</mml:mn></mml:msub></mml:math> ( <i>x</i> = 0.45) Magnet
Article Snippet: [33] M. J. Donahue and D. G. Porter, Object Oriented Micromagnetic Framework User’s Guide Version 1.0 NISTIR 6376, National Institute of Standards and Technology (Gaithersburg, MD, USA, 1999).

Article Title: Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook
Article Snippet: To show and evaluate the stochastic behavior, the detailed magnetic numerical simulator, Object Oriented MicroMagnetic Framework (OOMMF) (Version 1.2, National Institute of Standards and Technology, Gaithersburg, MD, USA) is used [64].

Article Title: Ellipsoidal magnetite nanoparticles: a new member of the magnetic-vortex nanoparticles family for efficient magnetic hyperthermia.
Article Snippet: The development of magnetic iron oxide nanoparticles with novel topological magnetic domain structures, such as the vortex-domain structure, is a promising strategy for improving the application performance of conventional superparamagnetic iron oxides while maintaining their good biocompatibility.. Here, we fabricated a new kind of magnetic-vortex nanoparticles, i.e., ellipsoidal magnetite nanoparticles (EMPs), for cancer magnetic hyperthermia.. The magnetization configurations and switching behaviours of the EMPs were analyzed by analytical simulations and Lorentz TEM, demonstrating the magnetic vortex structures of both single and coupled EMPs.

Article Title: Magnetic bilayer-skyrmions without skyrmion Hall effect
Article Snippet: The three-dimensional micromagnetic simulations are performed using the well-established Object Oriented MicroMagnetic Framework developed at the National Institute of Standards and Technology .



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Image Search Results


The user can use Python or MATLAB code to access and download the ABI–CTdb’s electrophysiological data and run ABI’s Python SDK routines to extract features from the electrophysiological data. The user can also store them in a local MySQL database that we call “CellSurvey”, use a new extension of our NeuroManager software to run simulations and extract features from them, then compare the simulated and experimental data. The results of these interactions are stored in a second investigation database called “NM–INVdb”. For more details please see the User Guide

Journal: Neuroinformatics

Article Title: Integrating the Allen Brain Institute Cell Types Database into automated neuroscience workflow

doi: 10.1007/s12021-017-9337-x

Figure Lengend Snippet: The user can use Python or MATLAB code to access and download the ABI–CTdb’s electrophysiological data and run ABI’s Python SDK routines to extract features from the electrophysiological data. The user can also store them in a local MySQL database that we call “CellSurvey”, use a new extension of our NeuroManager software to run simulations and extract features from them, then compare the simulated and experimental data. The results of these interactions are stored in a second investigation database called “NM–INVdb”. For more details please see the User Guide

Article Snippet: 2 2.3 Extending NeuroManager towards integrated simulation—analysis management Our group has developed an object–oriented MATLAB program called NeuroManager which automates the workflow of simulation job submissions when using multiple heterogeneous computational resources ( Stockton and Santamaria, 2017 , 2016 , 2015 ).

Techniques: Software

The ABIApiML classes give access to the ABI Cell Types electrophysiological data from within MATLAB

Journal: Neuroinformatics

Article Title: Integrating the Allen Brain Institute Cell Types Database into automated neuroscience workflow

doi: 10.1007/s12021-017-9337-x

Figure Lengend Snippet: The ABIApiML classes give access to the ABI Cell Types electrophysiological data from within MATLAB

Article Snippet: 2 2.3 Extending NeuroManager towards integrated simulation—analysis management Our group has developed an object–oriented MATLAB program called NeuroManager which automates the workflow of simulation job submissions when using multiple heterogeneous computational resources ( Stockton and Santamaria, 2017 , 2016 , 2015 ).

Techniques:

The local MySQL CellSurvey Database holds features extracted from NWB files downloaded from the Allen Brain Institute Database website. We can use standard SQL queries like these to access the database. The INNER JOINs connect tables in the database, allowing disparate parts of the stored data to be accessed in a single query. The table design is straightforward and is easily seen in the code or by browsing the database with MySQL Workbench. Automating the SQL query employment using custom Python or MATLAB functions is straightforward and easily extended; we have provided a MATLAB wrapper class which is described in Section 3.3

Journal: Neuroinformatics

Article Title: Integrating the Allen Brain Institute Cell Types Database into automated neuroscience workflow

doi: 10.1007/s12021-017-9337-x

Figure Lengend Snippet: The local MySQL CellSurvey Database holds features extracted from NWB files downloaded from the Allen Brain Institute Database website. We can use standard SQL queries like these to access the database. The INNER JOINs connect tables in the database, allowing disparate parts of the stored data to be accessed in a single query. The table design is straightforward and is easily seen in the code or by browsing the database with MySQL Workbench. Automating the SQL query employment using custom Python or MATLAB functions is straightforward and easily extended; we have provided a MATLAB wrapper class which is described in Section 3.3

Article Snippet: 2 2.3 Extending NeuroManager towards integrated simulation—analysis management Our group has developed an object–oriented MATLAB program called NeuroManager which automates the workflow of simulation job submissions when using multiple heterogeneous computational resources ( Stockton and Santamaria, 2017 , 2016 , 2015 ).

Techniques:

MATLAB access of CellSurvey database. The MATLAB class ABIFeatExtrData provides access to the local CellSurvey database of features extracted from the public online ABI Cell Types database

Journal: Neuroinformatics

Article Title: Integrating the Allen Brain Institute Cell Types Database into automated neuroscience workflow

doi: 10.1007/s12021-017-9337-x

Figure Lengend Snippet: MATLAB access of CellSurvey database. The MATLAB class ABIFeatExtrData provides access to the local CellSurvey database of features extracted from the public online ABI Cell Types database

Article Snippet: 2 2.3 Extending NeuroManager towards integrated simulation—analysis management Our group has developed an object–oriented MATLAB program called NeuroManager which automates the workflow of simulation job submissions when using multiple heterogeneous computational resources ( Stockton and Santamaria, 2017 , 2016 , 2015 ).

Techniques: