Modeling Fluidic Diagnostic Systems
- Type: Live Webinar
Recent events underscore the importance of rapid diagnostic tests for detecting viruses such as the SARS-CoV-2 coronavirus or for screening for cancer biomarkers. To successfully design a fluidic diagnostic system, engineers must solve a host of physics-based problems, such as fluid flow, chemical species transport, and mixing to successfully design a fluidic diagnostic system.
Using simulations, engineers not only gain a physics-based understanding of the system but can quickly test and optimize new concepts before prototyping, thereby reducing costs and saving time.
In this webinar, we use COMSOL Multiphysics® to understand and optimize the performance of different aspects of diagnostic systems, including chemical concentration gradients, chemical carryover, reagent dissolution, and mixing.
Dr. Andrew Spann is a senior engineer at Veryst Engineering. He has extensive experience in the development and application of complex computational methods, including CFD multiphysics modeling involving flows coupled with heat and mass transport or chemical reactions, as well as systems that are fundamentally 3D in nature due to curvature or routing. He received his PhD from Stanford University’s Institute for Computational and Mathematical Engineering.Read more
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