A5043534612- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Cellular Mechanics and Interactions
- Cancer Cells and Metastasis
- Micro and Nano Robotics
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Quantum many-body systems
- Granular flow and fluidized beds
- Advanced Data Storage Technologies
- Field-Flow Fractionation Techniques
- Lattice Boltzmann Simulation Studies
- Particle Dynamics in Fluid Flows
- Nanofabrication and Lithography Techniques
Georgia Institute of Technology
2020-2024
Fluid flow simulations marshal our most powerful computational resources. In many cases, even this is not enough. Quantum computers provide an opportunity to speed up traditional algorithms for simulations. We show that lattice-based mesoscale numerical methods can be executed as efficient quantum due their statistical features. This approach revises a algorithm lattice gas automata reduce classical computations and state preparation at every time step. For this, the approximates qubit...
The cross-stream inertial migration of neutrally buoyant particles in a power law fluid pressure-driven flow between two parallel walls is studied using three-dimensional numerical simulations. are modeled as rigid and compliant spherical shells filled with Newtonian fluid. Our simulations show that the equilibrate at stable off-center positions depend on particle size exponent. In shear thickening fluid, equilibrium position insensitive to size. thinning an additional unstable emerges for...
Sorting biological cells in heterogeneous cell populations is a critical task required variety of biomedical applications and therapeutics. Microfluidic methods are promising pathway toward establishing label-free sorting based on intrinsic biophysical properties, such as size compliance. Experiments numerical studies show that microchannels decorated with diagonal ridges can be used to separate by stiffness Newtonian fluid. Here, we use computational modeling probe stiffness-based ridged...
Numerous applications in medical diagnostics, cell engineering therapy, and biotechnology require the identification sorting of cells that express desired molecular surface markers.
Abstract The isolation of a patient's metastatic cancer cells is the first, enabling step toward treatment that patient using modern personalized medicine techniques. Whereas traditional standard-of-care approaches select treatments for patients based on histological classification cancerous tissue at time diagnosis, techniques leverage molecular and functional analysis own to with highest likelihood being effective. Unfortunately, pure populations required these analyses can be difficult...
Mechanical properties of cells such as stiffness can act biomarkers to sort or detect cell functional viability. In this study, we report the use a microfluidic device high-sensitivity sensor that transduces biomechanics separation accurately Cell populations are flowed and deflected at number skew ridges deflection per ridge, cell–ridge interaction time, size all be used inputs determine state. The angle was evaluated optimize differences in translation between viable nonviable while...
Fluid flow simulations marshal our most powerful computational resources. In many cases, even this is not enough. Quantum computers provide an opportunity to speedup traditional algorithms for simulations. We show that lattice-based mesoscale numerical methods can be executed as efficient quantum due their statistical features. This approach revises a algorithm lattice gas automata eliminate classical computations and measurements at every time step. For this, the approximates qubit relative...