![]() ![]() ĭamiri HS, Bardaweel HK (2015) Numerical design and optimization of hydraulic resistance and wall shear stress inside pressure-driven microfluidic networks. Ĭhu LY, Wan W (2017) Microfluidics for advanced functional polymeric materials (1st Ed.), Wiley-VCH. īhatia SN, Ingber DE (2014) Microfluidic organs-on-chips. įraser LA, Cheung YW, Kinghorn AB et al (2019) Microfluidic technology for nucleic acid aptamer evolution and application. Ĭai L, Chen G, Wang Y et al (2021) Boston ivy-inspired disc-like adhesive microparticles for drug delivery. Liu Y, Cheng Y, Zhao C et al (2022) Nanomotor-derived porous biomedical particles from droplet microfluidics. Hindson BJ, Ness KD, Masquelier DA et al (2011) High-throughput droplet digital PCR system for absolute quantitation of DNA copy number. Zilionis R, Nainys J, Veres A et al (2017) Single-cell barcoding and sequencing using droplet microfluidics. Guo J, Yu Y, Zhang D et al (2021) Morphological hydrogel microfibers with MXene encapsulation for electronic skin. Yu Y, Guo J, Ma B et al (2020) Liquid metal-integrated ultra-elastic conductive microfibers from microfluidics for wearable electronics. She X, Wang X, Niu P et al (2022) Miniature sono-electrochemical platform enabling effective and gentle electrode biofouling removal for continuous sweat measurements. ĭai L, Zhao X, Guo J et al (2020) Microfluidics-based microwave sensor. Whitesides GM (2006) The origins and the future of microfluidics. This approach may therefore contribute to providing a platform for the precise design of organ chips. The results indicate that consideration of junction resistances in design calculation brings experimental results closer to the design values than usual. Endothelial cells were stimulated by generating concentrations of adriamycin hydrochloride from the last two microfluidic networks, and we analyzed the response of endothelial cells. Finally, we obtained a library of node resistances for common junctions and used them to design three established chips that work for single-cell analysis and for precision allocation of solutes (in gradient and averaging concentration microfluidic networks). We resorted to machine learning to fit the calculated results for complex junctions. In the process, we numerically calculated the pressure drops at hydraulic nodes and list their resistances in the range of flows as concerned. Here, we prove by experiment that one must fully consider the pressure drops at nodes so as to accurately design a precise microfluidic chip. However, whereas voltage loss is negligible at the nodes of an electric circuit, hydraulic pressure drops at the nodes of microfluidic chips by a magnitude are comparable to the pressure drops in the straight channels. Usually, a microfluidic chip is analogous to an electric circuit in design, but the design is adjusted to optimize channel size. The ratio of the pressure drop to flow rate, referred to as resistance, depends on channel size and dynamic viscosity. Provide simple and easy to use open source TCAD tool for students to get physical insight for existing devices and for researchers to explore new nanodevices by integrating their device geometries, materials, and models.Microfluidic channels are at micrometer scales thus, their fluid flows are laminar, resulting in the linear dependence of pressure drop on flow rate in the length of the channel. It is Finite-Element-Method (FEM) based tool that solve self-consistent Poisson-Schrodinger equation on 2D/3D device geometry. The quantum tunneling and transport are simulated by solving an open system effective mass Schrodinger equation considering plane waves in reservoirs/contacts. QuDSim is a TCAD simulator developed at Centre for VLSI and Nanotechnology, VNIT, Nagpur to simulate electrical characteristics of Nanoscale devices. ![]()
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