Microelectrofluidic Systems: Modeling and Simulation
Tianhao Zhang Cadence Design Systems, Inc.
Krishnendu Chakrabarty Duke University
Richard Fair Duke University
Composite systems that integrate microelectromechanical and microelectrofluidic (MEF) components with electronics are emerging as the next generation of system-on-a-chip (SOC) designs. However, there remains a pressing need for a structured methodology for MEFS design automation, including modeling techniques and simulation and optimization tools.
Integrating top-down and bottom-up design philosophies, Microelectrofluidic Systems presents the first comprehensive design strategy for MEFS. This strategy supports hierarchical modeling and simulation from the component level to the system level. It leads to multi-objective optimization tools valuable in all phases of the design process, from conceptualization to final manufacturing. The authors begin by defining the basic variables and elements needed to describe MEFS behavior, then model that behavior across three layers of abstraction: the low-level component, high-level reconfigurable architecture, and bio/chemical application layers. They have developed a hierarchical integrated design environment with SystemC and present its architecture and associated functional packages.
Microelectrofluidic Systems is visionary in its leverage of electronic design principles for microsystem design and heralds a new era of automated SOC design. The strategy it presents holds the potential for significant reductions in design time and life-cycle maintenance costs, and its techniques and tools for robust design and application flexibility can lead to the high-volume production needed for the inevitably growing product market.
Table of ContentsINTRODUCTION. Review of State-of-the-Art. Research Motivation. Research Objective. HIERARCHICAL MODELING. Dynamic Modeling and Simulation at Circuit Level. MEFS System-Level Modeling and Simulation. Conclusion. HIERARCHICAL INTEGRATED DESIGN ENVIRONMENT WITH SYSTEMC. Suitability of Modeling Languages for Hierarchical Design. Building Design Environmental with SystemC. Conclusion. SYSTEM-LEVEL HIERARCHICAL SIMULATION AND PERFORMANCE EVALUATION. Hierarchical Modeling and Simulation Methodology. Micro-Chemical Handling System. System Performance Analysis and Design Optimization. Conclusion. CIRCUIT-LEVEL HIERARCHICAL OPTIMIZATION. Simulation Design Methodology. Optimization Verification. On-Target Design Optimization. Robust Design Optimization. Application Flexibility Optimization. Conclusion. PERFORMANCE COMPARISON WITH SYSTEMC ENVIRONMENT. Introduction. Continuous-Flow PCR System. Droplet-Based PCR System. Comparison Between Continuous-Flow PCR and Droplet PCR. Conclusion. CONCLUSION.
ContributorsAuthor 1 Zhang, Tianhao, Cadence Design Systems, Inc., Cary, North Carolina, USA Author 2 Chakrabarty, Krishnendu, Duke University, Durham, North Carolina, USA Author 3 Fair, Richard B., Duke University, Durham, North Carolina, USA
by siebo — last modified September 18, 2009 - 12:16