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numerical simulation model  (COMSOL Inc)

 
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    COMSOL Inc numerical simulation model
    Numerical Simulation Model, 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/numerical+simulation+model/numerical+model/pmc12042242-153-2-8
    Average 90 stars, based on 1 article reviews
    numerical simulation model - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Measurement of the Poisson expansion effect on crack openings in self-sensing concrete
    Article Snippet: The numerical model created in COMSOL (Fig. (a)) was identical to the geometries of the concrete cylinder samples tested.

    Article Title: Measurement of the Poisson expansion effect on crack openings in self-sensing concrete.
    Article Snippet: Scientific Reports | (2025) 15:21734 3| https://doi.org/10.1038/s41598-025-04135-9 The numerical model created in COMSOL (Fig. 3 (a)) was identical to the geometries of the concrete cylinder samples tested.

    Article Title: Numerical simulation of magnetic drug targeting for lung cancer therapy using a bulk superconducting magnet
    Article Snippet: A three-dimensional numerical simulation model was built in COMSOL Multiphysics, based on the Weibel model of the lung, interacting with a magnetized bulk superconductor.

    Article Title: Electrohydrodynamic Vortex Imaging: A New Tool for Understanding Mass Transfer in Surface-Based Biosensors.
    Article Snippet: To complement the experimental work, a numerical model developed in COMSOL is presented, which predicts fluid and particle motion under different conditions and geometries for the top-bottom electrode configuration.

    Article Title: A novel decoupled model for water and heat coupling in frozen soil and numerical analysis.
    Article Snippet: A novel decoupled water-heat coupling theoretical model was derived, and a numerical model for the migration process in frozen soil was implemented through secondary development in COMSOL.

    Article Title: Use of biochar and coal ash as passive sorbent barriers for long-term mitigation of chlorinated solvent vapours.
    Article Snippet: To quantify this non-linear adsorption behaviour under dynamic conditions, the experimental data obtained from the column tests were used to calibrate the numerical model developed in COMSOL Multiphysics (see Section 2.5.2).

    Article Title: Development and validation of practical membrane efficiency models for landfill liner systems.
    Article Snippet: Contaminant transport in landfills affects groundwater quality.. As a result, compacted clay liners and bentonite-based clays are used as barriers in landfills due to their membrane behavior and low hydraulic conductivity.. Membrane behavior is the restriction ability of clays owing to the overlap of the diffuse double layers of clay particles.

    Modification:

    Article Title: Numerical simulation of magnetic drug targeting for lung cancer therapy using a bulk superconducting magnet.
    Article Snippet: .. Conclusion in this work, magnetic drug targeting (MDt) using a bulk superconducting magnet has been explored for the treatment of primary bronchial cancer. a three-dimensional numerical simulation model was built in cOMsOl Multiphysics, based on the Weibel model of the lung, interacting with a magnetized bulk superconductor. the model was used to study the influence of lung-magnet distance, bulk superconductor properties, particle properties, and physiological or tumor structural parameters on capture efficiency. the results show that the use of the bulk superconducting magnet can effectively improve the capture efficiency of magnetic drugs or drug carriers within a suitable distance (especially 40–80 mm away from the lesion area). a particle deposition efficiency (PDe) value of over 10% can be readily achieved when d = 40 mm, whereas the no-magnet PDe is usually less than 1–2%. the results prove that bulk superconducting magnets have great potential to realize the guidance of magnetic drugs or drug carriers from outside the body, which could achieve safer noninvasive magnetic-targeted medical treatment for lung cancer. in addition, the distribution and deposition patterns of particles are discussed for the various cases investigated. the results also illustrate that when the bulk superconducting magnet is directly opposite the tumor, although the magnetic field strength can be modified by changing the magnet properties (e.g. dimensions or cryogenic operating temperature), the PDe does not always increase due to the fact that a stronger magnet force could actually gather particles before the cancerous area. however, a stronger magnetic field increases the effective distance d. in summary, this numerical simulation framework provides a basis for more detailed design and optimization of MDt Figure 9. (a) The effect of distance d and bulk superconducting magnet dimensions on the PDe value. ..



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    Schematic diagram of the ultrasound modulated electroencephalography (USMEEG) principle. EEG, electroencephalography; tFUS, transcranial focused ultrasound; Chan., channel.

    Journal: Cyborg and Bionic Systems

    Article Title: Noninvasive Intracranial Source Signal Localization and Decoding with High Spatiotemporal Resolution

    doi: 10.34133/cbsystems.0206

    Figure Lengend Snippet: Schematic diagram of the ultrasound modulated electroencephalography (USMEEG) principle. EEG, electroencephalography; tFUS, transcranial focused ultrasound; Chan., channel.

    Article Snippet: The 3D transcranial single-source dipole numerical simulation model was constructed based on the above skull model and COMSOL 6.0 as shown in Fig. B1, and the ultrasound raster scanning area is shown in Fig. B2, with the yellow star shape as the neuron setting position and the red dots as the ultrasound irradiation point positions.

    Techniques:

    Schematic of the flow of the decoding and localization algorithm for acoustoelectric signals, 3D transcranial single-source dipole localization simulation model, and schematic diagram of the ultrasound irradiation strategy and electrocorticography (ECoG) signal compared to the fitted signal. (A1) Flowchart of the envelope decoding and localization algorithm . (A2) Flowchart of the pulse repetition frequency (PRF) sideband localization algorithm. (B1) Numerical simulation model. (B2) Schematic diagram of the ultrasound irradiation strategy. (C1) S1 analog source signal. (C2) S2 analog source signal. (C3) S3 analog source signal. (C4) S4 analog source signal. AE, acoustoelectric effect.

    Journal: Cyborg and Bionic Systems

    Article Title: Noninvasive Intracranial Source Signal Localization and Decoding with High Spatiotemporal Resolution

    doi: 10.34133/cbsystems.0206

    Figure Lengend Snippet: Schematic of the flow of the decoding and localization algorithm for acoustoelectric signals, 3D transcranial single-source dipole localization simulation model, and schematic diagram of the ultrasound irradiation strategy and electrocorticography (ECoG) signal compared to the fitted signal. (A1) Flowchart of the envelope decoding and localization algorithm . (A2) Flowchart of the pulse repetition frequency (PRF) sideband localization algorithm. (B1) Numerical simulation model. (B2) Schematic diagram of the ultrasound irradiation strategy. (C1) S1 analog source signal. (C2) S2 analog source signal. (C3) S3 analog source signal. (C4) S4 analog source signal. AE, acoustoelectric effect.

    Article Snippet: The 3D transcranial single-source dipole numerical simulation model was constructed based on the above skull model and COMSOL 6.0 as shown in Fig. B1, and the ultrasound raster scanning area is shown in Fig. B2, with the yellow star shape as the neuron setting position and the red dots as the ultrasound irradiation point positions.

    Techniques: Irradiation

    (A) Schematic of the delay distribution of the array elements (the darker the color, the higher the delay). (B) Acoustic pressure field before and after transcranial modulation. (C) Comparison results of the focal acoustic pressure and mechanical index (MI). (D) Distribution of transcranial TR-modulated onset temperature field.

    Journal: Cyborg and Bionic Systems

    Article Title: Noninvasive Intracranial Source Signal Localization and Decoding with High Spatiotemporal Resolution

    doi: 10.34133/cbsystems.0206

    Figure Lengend Snippet: (A) Schematic of the delay distribution of the array elements (the darker the color, the higher the delay). (B) Acoustic pressure field before and after transcranial modulation. (C) Comparison results of the focal acoustic pressure and mechanical index (MI). (D) Distribution of transcranial TR-modulated onset temperature field.

    Article Snippet: The 3D transcranial single-source dipole numerical simulation model was constructed based on the above skull model and COMSOL 6.0 as shown in Fig. B1, and the ultrasound raster scanning area is shown in Fig. B2, with the yellow star shape as the neuron setting position and the red dots as the ultrasound irradiation point positions.

    Techniques: Comparison

    Focal acoustic pressure and MI for each modulation method

    Journal: Cyborg and Bionic Systems

    Article Title: Noninvasive Intracranial Source Signal Localization and Decoding with High Spatiotemporal Resolution

    doi: 10.34133/cbsystems.0206

    Figure Lengend Snippet: Focal acoustic pressure and MI for each modulation method

    Article Snippet: The 3D transcranial single-source dipole numerical simulation model was constructed based on the above skull model and COMSOL 6.0 as shown in Fig. B1, and the ultrasound raster scanning area is shown in Fig. B2, with the yellow star shape as the neuron setting position and the red dots as the ultrasound irradiation point positions.

    Techniques: