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comsol livelink  (COMSOL Inc)

 
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    COMSOL Inc comsol livelink
    Comsol Livelink, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/livelink+matlab+transcript+function/livelink/pmc10558121-306-14-13
    Average 90 stars, based on 1 article reviews
    comsol livelink - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Generated:

    Article Title: System to detect dielectric changes in matter
    Article Snippet: .. A total of 666 head models can be generated in simulation using COMSOL Livelink, enabling scripting within the Matlab (Mathworks, Natick, Massachusetts USA) environment. ..

    other:

    Article Title: Machine learning models based on FEM simulation of hoop mode vibrations to enable ultrasonic cuffless measurement of blood pressure.
    Article Snippet: Blood pressure (BP) is one of the vital physiological parameters, and its measurement is done routinely for almost all patients who visit hospitals.. Cuffless BP measurement has been of great research interest over the last few years.. In this paper, we aim to establish a method for cuffless measurement of BP using ultrasound.

    Article Title: ML‐Augmented Bayesian Optimization of Pain Induced by Microneedles
    Article Snippet: 3) Implementing COMSOL simulations LiveLink with MATLAB codes interface.

    Article Title: ML‐Augmented Bayesian Optimization of Pain Induced by Microneedles
    Article Snippet: Utilizing the LiveLink between COMSOL and MATLAB proved to be a highly effective approach in achieving the optimal solution.

    Article Title: Oscillatory responses of a spatially random seabed in the vicinity of structures: Validation and application of the integrated CFD-SFEM
    Article Snippet: A comprehensive examination of the wave-induced oscillatory response of seabeds around structures is of great significance for ensuring the safe operation of marine engineering projects and enhancing the efficiency of marine resource development.. Soil properties in nature exhibit spatial variability due to various geological processes, which should be considered in seabed stability analysis.. An integrated CFD-SFEM is proposed for spatially heterogeneous seabeds, incorporating multi-physical solvers for nonlinear wave motion and poroelastic seabed response within a unified framework through a one-way coupling procedure.



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    livelink matlab transcript function  (MathWorks Inc)
    90
    MathWorks Inc livelink matlab transcript function
    Dynamic process of the study based on the T-junction droplet simulations (A) The COMSOL simulation resulted in a phase description of the final generated droplets, stemming from the settings initialized for interaction between oil and water, which was then conducted using the <t>Livelink</t> <t>MATLAB</t> transcript function of the software to create and store images of phase-defined generated droplets for various input parameters. (B) Images resulting from FEA were then subjected to an image analysis process in which a binary format of those images was used to enhance the performance of measuring parameters visualized in the droplet formation. (C) According to measured variables in binary images, two important output parameters were extracted that emphasize the goal of the current research: Regime and Droplet Length. (D) In each scenario of image creation, four main inputs resulted in two numerical outputs, which were then ordered in a table to create a dataset of 8020 data points. (E) The resulting dataset was then trained with ML and DL methods, including classification models to train the droplet generation regime and regression models with the purpose of training-droplet length. (F) Finally, the trained models were used to estimate the main outputs for the proposed T-junction droplet generation setup.
    Livelink Matlab Transcript Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/livelink+matlab+transcript+function/pmc10951907-77-2-3
    Average 90 stars, based on 1 article reviews
    livelink matlab transcript function - by Bioz Stars, 2026-09
    90/100 stars
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    Dynamic process of the study based on the T-junction droplet simulations (A) The COMSOL simulation resulted in a phase description of the final generated droplets, stemming from the settings initialized for interaction between oil and water, which was then conducted using the Livelink MATLAB transcript function of the software to create and store images of phase-defined generated droplets for various input parameters. (B) Images resulting from FEA were then subjected to an image analysis process in which a binary format of those images was used to enhance the performance of measuring parameters visualized in the droplet formation. (C) According to measured variables in binary images, two important output parameters were extracted that emphasize the goal of the current research: Regime and Droplet Length. (D) In each scenario of image creation, four main inputs resulted in two numerical outputs, which were then ordered in a table to create a dataset of 8020 data points. (E) The resulting dataset was then trained with ML and DL methods, including classification models to train the droplet generation regime and regression models with the purpose of training-droplet length. (F) Finally, the trained models were used to estimate the main outputs for the proposed T-junction droplet generation setup.

    Journal: iScience

    Article Title: Deep learning-augmented T-junction droplet generation

    doi: 10.1016/j.isci.2024.109326

    Figure Lengend Snippet: Dynamic process of the study based on the T-junction droplet simulations (A) The COMSOL simulation resulted in a phase description of the final generated droplets, stemming from the settings initialized for interaction between oil and water, which was then conducted using the Livelink MATLAB transcript function of the software to create and store images of phase-defined generated droplets for various input parameters. (B) Images resulting from FEA were then subjected to an image analysis process in which a binary format of those images was used to enhance the performance of measuring parameters visualized in the droplet formation. (C) According to measured variables in binary images, two important output parameters were extracted that emphasize the goal of the current research: Regime and Droplet Length. (D) In each scenario of image creation, four main inputs resulted in two numerical outputs, which were then ordered in a table to create a dataset of 8020 data points. (E) The resulting dataset was then trained with ML and DL methods, including classification models to train the droplet generation regime and regression models with the purpose of training-droplet length. (F) Finally, the trained models were used to estimate the main outputs for the proposed T-junction droplet generation setup.

    Article Snippet: Through the Livelink MATLAB transcript function, images of the generated droplets were captured and stored ( A).

    Techniques: Generated, Software

    Journal: iScience

    Article Title: Deep learning-augmented T-junction droplet generation

    doi: 10.1016/j.isci.2024.109326

    Figure Lengend Snippet:

    Article Snippet: Through the Livelink MATLAB transcript function, images of the generated droplets were captured and stored ( A).

    Techniques: Software