commercial numerical calculation software (COMSOL Inc)
90
Structured Review
COMSOL Inc
commercial numerical calculation software
Commercial Numerical Calculation Software, 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+calculation+software/commercial+numerical+calculation+software/10__1016_slash_j__jocs__2024__102436-185-50-56
Average 90 stars, based on 1 article reviews
Commercial Numerical Calculation Software, 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+calculation+software/commercial+numerical+calculation+software/10__1016_slash_j__jocs__2024__102436-185-50-56
Average 90 stars, based on 1 article reviews
commercial numerical calculation software - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Modeling of the dissolution phenomena of solid particles into an infinitely large medium from the analytical solutions of reaction–diffusion equations Article Snippet: Mathematical solutions of the concentration of dissolved component in surrounding fluid were obtained for analyses of the dissolution phenomena of spherical, cylindrical, and slabtype particles.. Calculation of the surface flux enabled material balance equations to be derived for the prediction of transient particle size.. For the spherical particle, the resulting differential equation was solved numerically to compare with the analytical solution. Article Title: Leveraging plasmonic hot electrons to quench defect emission in metal-semiconductor nanostructured hybrids. Article Snippet: All numerical calculations were performed using codes developed in Python and Article Title: Time-dependent gas dynamic diffusion process in shale matrix: model development and numerical analysis Article Snippet: To proceed the numerical calculation, Article Title: Enhanced Osmotic Energy Conversion with Ultrahigh Ionic Conductivity in Sodium Polystyrenesulfonate/Cellulose Nanofiber Composite Membranes Article Snippet: S4 1.4 Numerical simulation This calculation is performed with the help of Software:Article Title: Dynamic Numerical Calculation of Multi-Physics Fields in IGBT Chip Layer Based on ETM-PINN Article Snippet: The electric-thermal-mechanical (ETM) multi-physics coupling fields commonly exists in power electronic devices such as insulate-gate bipolar transistor (IGBT), which dominates the evolution of key state variables inside the components.. Among them, the junction e and electric potential of the chip layer, as the dependent variables of various lifetime physical models, directly affect its remaining service life and health status.. Aiming at the problem that the key physical variables inside the IGBT are difficult to monitor and predict, this paper first integrates and establishes the ETM coupling partial differential equations (PDEs) inside the IGBT, then accordingly proposes an accurate numerical calculation method for coupled physical fields based on ETM-physicsinformed neural networks (ETM-PINN).Through relevant simulation verification, it can not only realize the numerical calculation of the chip layer junction temperature and electric potential field without data, but also perform multi-physics predictive calculation with reduced accuracy in the absence of the key coefficients in PDEs. Article Title: A coarse-grained Poisson–Nernst–Planck model for polyelectrolyte-modified nanofluidic diodes Article Snippet: .. The numerical calculation was realized using the Article Title: Photo-thermo-optical modulation of Raman scattering from Mie-resonant silicon nanostructures Article Snippet: .. Instead, we relied on the numerical calculation by using Article Title: Numerical investigation on the rewarming heat transfer characteristics in cryogenic vials considering the influence of internal convection Article Snippet: The heat transfer characteristics significantly affect the rewarming process of cryopreserved biological samples.. Currently, most numerical studies on the rewarming process merely consider the effect of heat conduction, while a description of convective heat transfer within the sample is still lacking.. In this study, a comprehensive heat transfer model considering both heat conduction and convection is established by introducing a solid–liquid phase transition numerical calculation method. |
