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3d model comsol 6.0  (COMSOL Inc)

 
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    COMSOL Inc 3d model comsol 6.0
    3d Model Comsol 6.0, 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/3d+comsol+model/2d+model+comsol+multiphysics+5+2/pm40544751-55-6-6
    Average 90 stars, based on 1 article reviews
    3d model comsol 6.0 - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Integrating dual heat sources to enhance thermoelectric generator power output
    Article Snippet: The escalating demand for sustainable power sources for wearable electronics necessitates innovative solutions.. This study tackles the challenge of sustainably powering wearable electronics, addressing the limitations of traditional batteries.. The approach utilizes a thermoelectric generator with a flexible and stretchable substrate that integrates the photothermal effect and human body temperature as a heat source.

    Article Title: Microfluidic Chip for Cell Fusion and In Situ Separation of Fused Cells.
    Article Snippet: Electrofusion is an effective method for fusing two cells into a hybrid cell, and this method is widely used in immunomedicine, gene recombination, and other related fields.. Although cell pairing and electrofusion techniques have been accomplished with microfluidic devices, the purification and isolation of fused cells remains limited due to expensive instruments and complex operations.. In this study, through the optimization of microstructures and electrodes combined with buffer substitution, the entire cell electrofusion process, including cell capture, pairing, electrofusion, and precise separation of the targeted fused cells, is achieved on a single chip.

    Article Title: Selective and controllable mechanism of the temperature field in skin tissue under radiofrequency heating: finite element analysis and ex-vivo pig skin experiments.
    Article Snippet: Selective control and regulation mechanism of heating temperature in various layers of skin tissue is currently one of the bottlenecks in improving radiofrequency heating.. With 1–5 MHz, a radiofrequency heating model of skin tissue was constructed with a mixed heating mode of fixed-point and reciprocating sliding.. The temperature distributions for each layer of skin tissue were determined in the model. Due to high electrical and thermal conductivity compared to other skin tissues, the dermis was preferentially heated evenly and reached the highest temperature.

    Article Title: Reconfigurable Transport and Assembly of Colloidal Particles via Opto-Chemical-Electronic Tweezer (OCET).
    Article Snippet: Transporting and assembling colloidal particles is key to applications such as drug delivery, the fabrication of functional materials, and microrobotics.. As a result, there is intense effort in developing techniques for manipulating colloids at high spatial and temporal resolutions, and in a dynamic, reconfigurable manner.. Although optical manipulation provides precise particle control, its application is often limited by high energy requirements and intricate setups.

    Article Title: Designing Metal Phosphide Solid-Electrolyte Interphase for Stable Lithium Metal Batteries Through Electrified Interface Optimization and Synergistic Conversion
    Article Snippet: A finite element simulation was conducted using 3D modeling in COMSOL Multiphysics 6.3 to understand the electrodeposition process.

    Article Title: Prediction of Magnetic Fields in Single-Phase Transformers Under Excitation Inrush Based on Machine Learning.
    Article Snippet: The electrical parameters of a single-phase transformer 3D model in COMSOL 6.0 simulation software are set as listed in Table 1.

    Article Title: Microfluidic impedance flow cytometer leveraging virtual constriction microchannel and its application in leukocyte differential.
    Article Snippet: As to numerical simulation, a 3D simulation model of the virtual constriction microchannel was established using COMSOL Multiphysics 5.5.

    Article Title: Surface-Embedding of Mo Microparticles for Robust and Conductive Biodegradable Fiber Electrodes: Toward 1D Flexible Transient Electronics.
    Article Snippet: See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense carried out based on 3D modeling using a COMSOL Multiphysics (version 6.0, https://www.comsol.com).



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    (A) Schematic illustrating 2D vs <t>3D</t> tissue cultures. (B) Schematic diagram showing that <t>while</t> <t>necrosis</t> is not a concern for smaller organoids, it occurs in the dense core regions of larger organoids. (C) Workflow of our overall strategy for computational modeling of necrosis within 3D culture using NOs. We identify necrosis in stained slices of NOs ( left ) and fit the percentage (%) of necrotic area to get the respective Damköhler number ( Da ) ( middle ) and proceed with parametric studies for the NO in our 3D CAD models ( right ).
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    (A) Schematic illustrating 2D vs 3D tissue cultures. (B) Schematic diagram showing that while necrosis is not a concern for smaller organoids, it occurs in the dense core regions of larger organoids. (C) Workflow of our overall strategy for computational modeling of necrosis within 3D culture using NOs. We identify necrosis in stained slices of NOs ( left ) and fit the percentage (%) of necrotic area to get the respective Damköhler number ( Da ) ( middle ) and proceed with parametric studies for the NO in our 3D CAD models ( right ).

    Journal: bioRxiv

    Article Title: Computational modeling of necrosis in neural organoids

    doi: 10.1101/2025.04.30.651571

    Figure Lengend Snippet: (A) Schematic illustrating 2D vs 3D tissue cultures. (B) Schematic diagram showing that while necrosis is not a concern for smaller organoids, it occurs in the dense core regions of larger organoids. (C) Workflow of our overall strategy for computational modeling of necrosis within 3D culture using NOs. We identify necrosis in stained slices of NOs ( left ) and fit the percentage (%) of necrotic area to get the respective Damköhler number ( Da ) ( middle ) and proceed with parametric studies for the NO in our 3D CAD models ( right ).

    Article Snippet: We developed a 3D computational model (COMSOL Multiphysics) to investigate the progression of necrosis in NO culture.

    Techniques: Staining

    ( A ) Confocal microscopy of NO cultures at ( i-vi ) static state, ( vii-xii ) oOrbital shaking at 88 RPM. Nuclei stained with Hoechst 33342 ( blue ), neuronal staining with HMGB-1 ( green ) and βIII-tubulin ( red ), and apoptosis markers with TUNEL ( pink ). A yellow dotted line indicates the necrotic area. The scale bar is 50 μm. ( B ) Experimental estimation of percentage (%) necrotic area of NO. The sample size used was n=3. ( C ) Geometry and mesh of the calibration model; ( D ) Calibration curve of % percentage necrotic area vs Da across diffusion and reaction dominated regions. Using the % necrotic area of NO at static state and 88 RPM as shown in ( B ), we find a corresponding Da . We found reasonable agreement with both experimental ranges at Da≈ 8.1. ( E ) 3D simulation showing oxygen consumption and necrosis across an irregular NO (like experimental sample) with equivalent radius (650 μm) at Da = 8.1. Critical oxygen concentration is assumed to be 0.05 mol/m .

    Journal: bioRxiv

    Article Title: Computational modeling of necrosis in neural organoids

    doi: 10.1101/2025.04.30.651571

    Figure Lengend Snippet: ( A ) Confocal microscopy of NO cultures at ( i-vi ) static state, ( vii-xii ) oOrbital shaking at 88 RPM. Nuclei stained with Hoechst 33342 ( blue ), neuronal staining with HMGB-1 ( green ) and βIII-tubulin ( red ), and apoptosis markers with TUNEL ( pink ). A yellow dotted line indicates the necrotic area. The scale bar is 50 μm. ( B ) Experimental estimation of percentage (%) necrotic area of NO. The sample size used was n=3. ( C ) Geometry and mesh of the calibration model; ( D ) Calibration curve of % percentage necrotic area vs Da across diffusion and reaction dominated regions. Using the % necrotic area of NO at static state and 88 RPM as shown in ( B ), we find a corresponding Da . We found reasonable agreement with both experimental ranges at Da≈ 8.1. ( E ) 3D simulation showing oxygen consumption and necrosis across an irregular NO (like experimental sample) with equivalent radius (650 μm) at Da = 8.1. Critical oxygen concentration is assumed to be 0.05 mol/m .

    Article Snippet: We developed a 3D computational model (COMSOL Multiphysics) to investigate the progression of necrosis in NO culture.

    Techniques: Confocal Microscopy, Staining, TUNEL Assay, Diffusion-based Assay, Concentration Assay

    (A-C) 3D geometry of NO culture strategy using (A) static culture, (B) orbital shaking, and (C) microfluidic flow around the NO. (D) Visualization of the necrotic area by plotting O 2 concentration in a NO slice. The core area marked by the dotted yellow line has an O 2 concentration below the critical O 2 concentration of 0.05 mol/m and is necrotic. (D-F) Computational estimation of necrosis in a NO by plotting O 2 concentration across an NO between 500-1000 μ m (diameter). ( D ) For a 500 μ m NO cultured using, (i) static culture (ii) orbital shaking, and (iii) microfluidic flow around NO. (iv) O 2 concentration across NO on a cutline at y=0 for all three cases. The blue-shaded region represents the area below the critical O 2 concentration, which determines the necrotic area. We observe viable NOs with no necrosis in all culture strategies. (E) For a 650 μ m NO cultured using (i) static culture (ii) orbital shaking, and (iii) microfluidic flow around NO. (iv) O 2 concentration across NO on a cutline at y=0 for all three cases. The blue-shaded region represents the area below the critical O 2 concentration, which determines the necrotic area. We observe that orbital shaking improves the NO viability in comparison to the other two culture strategies. (F) For a 1000 μ m NO cultured using, (i) static culture, (ii) orbital shaking, and (iii) microfluidic flow around NO. (iv) O 2 concentration across the NO on a cutline at y=0 for all three cases. The blue-shaded region represents the area below the critical O 2 concentration, which determines the necrotic area. We observe that all strategies show significant necrotic cores.

    Journal: bioRxiv

    Article Title: Computational modeling of necrosis in neural organoids

    doi: 10.1101/2025.04.30.651571

    Figure Lengend Snippet: (A-C) 3D geometry of NO culture strategy using (A) static culture, (B) orbital shaking, and (C) microfluidic flow around the NO. (D) Visualization of the necrotic area by plotting O 2 concentration in a NO slice. The core area marked by the dotted yellow line has an O 2 concentration below the critical O 2 concentration of 0.05 mol/m and is necrotic. (D-F) Computational estimation of necrosis in a NO by plotting O 2 concentration across an NO between 500-1000 μ m (diameter). ( D ) For a 500 μ m NO cultured using, (i) static culture (ii) orbital shaking, and (iii) microfluidic flow around NO. (iv) O 2 concentration across NO on a cutline at y=0 for all three cases. The blue-shaded region represents the area below the critical O 2 concentration, which determines the necrotic area. We observe viable NOs with no necrosis in all culture strategies. (E) For a 650 μ m NO cultured using (i) static culture (ii) orbital shaking, and (iii) microfluidic flow around NO. (iv) O 2 concentration across NO on a cutline at y=0 for all three cases. The blue-shaded region represents the area below the critical O 2 concentration, which determines the necrotic area. We observe that orbital shaking improves the NO viability in comparison to the other two culture strategies. (F) For a 1000 μ m NO cultured using, (i) static culture, (ii) orbital shaking, and (iii) microfluidic flow around NO. (iv) O 2 concentration across the NO on a cutline at y=0 for all three cases. The blue-shaded region represents the area below the critical O 2 concentration, which determines the necrotic area. We observe that all strategies show significant necrotic cores.

    Article Snippet: We developed a 3D computational model (COMSOL Multiphysics) to investigate the progression of necrosis in NO culture.

    Techniques: Concentration Assay, Cell Culture, Comparison

    (A-C) Varying synthetic capillary density to determine optimal layout to eliminate necrosis. We varied the density in the grid layout containing (A) 1, (B) 4, and (C) 9 capillaries. We maintain a flow rate of 200 μL/min. (D-F) O 2 concentration across NO on a cutline at z=0 for the three capillary densities. (G-I) Stacked 3D visual representation of O 2 concentration across the NO for the three capillary densities. (D&G) 1 capillary system causes high necrosis. ( E&H ) 4 capillary system necrosis reduces, but the organoid is not viable. (F&I) We observe no necrosis in the 9-capillary system.

    Journal: bioRxiv

    Article Title: Computational modeling of necrosis in neural organoids

    doi: 10.1101/2025.04.30.651571

    Figure Lengend Snippet: (A-C) Varying synthetic capillary density to determine optimal layout to eliminate necrosis. We varied the density in the grid layout containing (A) 1, (B) 4, and (C) 9 capillaries. We maintain a flow rate of 200 μL/min. (D-F) O 2 concentration across NO on a cutline at z=0 for the three capillary densities. (G-I) Stacked 3D visual representation of O 2 concentration across the NO for the three capillary densities. (D&G) 1 capillary system causes high necrosis. ( E&H ) 4 capillary system necrosis reduces, but the organoid is not viable. (F&I) We observe no necrosis in the 9-capillary system.

    Article Snippet: We developed a 3D computational model (COMSOL Multiphysics) to investigate the progression of necrosis in NO culture.

    Techniques: Concentration Assay