Mukherjee T. – TechConnect Briefs

Microfluidic Injector Models Based on Neural Networks

Magargle R., Hoburg J.F., Mukherjee T., Carnegie Mellon University, US

An injector modeling methodology based on neural networks is presented. The new aspects of this approach are (1) the full description of the dynamic injector behavior and (2) the applicability of the approach to a [...]

System Simulations of Complex Electrokinetic Passive Micromixers

Wang Y., Lin Q., Mukherjee T., Carnegie Mellon University, US

This paper presents a composable system simulation framework using an analog hardware description language implementing behavioral models for electrokinetic micromixers that are capable of accurately capturing the effects of mixer topology/geometry, flow ratio and material [...]

Pareto-Optimal Modeling for Efficient PLL Optimization

Tiwary S.K., Velu S., Rutenbar R.A., Mukherjee T., Carnegie Mellon University, US

Simulation-based synthesis tools for analog circuits [1,2] face a problem extending their sizing/biasing methodology to larger block-level designs such as phase lock loops or converters: the time to fully evaluate (i.e., to fully simulate) each [...]

An Injector Component Model for Complete Microfluidic Electrokinetic Separation Systems

Magargle R., Hoburg J.F., Mukherjee T., Carnegie Mellon University, US

This work presents a closed-form, numerically derived model of a key microfluidic electrokinetic separation system component, the cross injector. The model fits into a framework such that it can be combined with a network of [...]

Composable System Simulation of Dispersion in Complex Electrophoretic Separation Microchips

Wang Y., Lin Q., Mukherjee T., Carnegie Mellon University, US

This paper presents a composable system simulation framework for electrophoretic separation microchips, using an analog hardware description language integrating analytical dispersion models that describe not only the behavior of individual components, but also the interactions [...]

Layout Verification by Extraction for Micro Total Analysis Systems

Baidya B., Mukherjee T., Carnegie Mellon University, US

The increasing complexity of MicroTotalAnalysis Systems is leading to a growing need for verification tools for such designs. Numerical simulation of such designs are slow, memory consuming and practically impossible for large designs. Schematic-based simulation [...]

Topology Trade-offs in the Synthesis of Chip-based Electrophoretic Separation Systems

Pfeiffer A.J., Mukherjee T., Hauan S., Carnegie Mellon University, US

Micro-scale electrophoretic separation systems provide a highly effective, versatile and inexpensive method for separating a wide variety of chemical components. Particularly useful applications include separation of biological molecules, chemical sensing, and mobile drub delivery systems. [...]

A Simple Description of Turn-induced Transverse Field Dispersion in Micrlfluidic Channels for System-Level Design

Magargle R.M., Hoburg J.F., Mukherjee T., Carnegie Mellon University, US

This abstract shows a simple analytical model for turn-induced dispersion that captures an essential aspect of the transition field from uniform to circumferential that has been ignored in prior simple descriptions. The model applies directly [...]

Simulation of Manufacturing Variations in a Z-axis CMOS-MEMS Gyroscope

Iyer S., Mukherjee T., Carnegie Mellon University, US

This paper uses MEMS circuit-level simulation to correlate gyro performance measures such as zero rate output (ZRO), linear acceleration sensitivity (Sa) and cross-axis sensitivity (Sca) to geometrical asymmetries. Elastic and electrostatic asymmetries in the gyroscope [...]

Dispersion Modeling in Microfluidic Channels for System-level Optimization

Baidya B., Mukherjee T., Hoburg J.F., Carnegie Mellon University, US

Chip-based microfluidic separation systems often use serpentine channels to achieve long separation lengths in minimal area. Such designs suffer from the ‘racetrack’ effect due to the bends in the microchannel. In addition, the skew produced [...]