Professor of Mechanical Engineering and Director, PRISM: NNSA Center for Prediction of Reliability, Integrity and Survivability of Microsystems, Purdue University
Uncertainty Quantification in Simulation of Microsystems
Thursday, November 3, 2011
3:00 P.M. in 823 Benedum Hall
ABSTRACT: In recent years, there has been increasing interest in predicting the performance of micro and nanosystems from fundamental physical principles. However, in nearly all instances, fabrication processes produce large variability in device dimensions, material properties and surface conditions, among others. Furthermore, physical models for device behavior are themselves approximate and span a wide range of length and time scales and knowledge domains. When complex microsystems consisting of interconnected physical components and models are simulated, the cumulative effect of these uncertainties is manifested in the final predictions in complex and unpredictable ways. In order to believe these predictions and to base decisions on them, it is deeply important to quantify uncertainty in microsystem simulations. In this talk, I describe recent computational work being undertaken in Purdue’s PRISM Center on the quantification of uncertainty in complex heterogeneous microsystems through the use of Bayes networks. PRISM focuses on understanding the long-term behavior of MEMS using large-scale simulation. The work involves multiscale, multiphysics simulations of radio-frequency capacitive MEMS switches, accounting for fluid-structure-electrostatics interactions at micron scales, metal-dielectric contact, and failure mechanisms such as dielectric charging. Though the specific examples are from the MEMS community, the broader ideas in the talk are applicable to simulations of general complex systems.
BIOGRAPHY: Jayathi Murthy is Robert V. Adams Professor of Mechanical Engineering at Purdue University and Director of PRISM: NNSA Center for Prediction of Reliability, Integrity and Survivability of Microsystems. She received her Ph.D degree from the University of Minnesota in the area of numerical heat transfer and has worked in both academia and in industry. During her employment at Fluent Inc., a leading vendor of CFD software, she developed the unstructured solution-adaptive finite volume methods underlying their flagship software Fluent, and the electronics cooling software package ICEPAK. More recently, her research has addressed sub-micron thermal transport, and the development of numerical techniques for concurrent electro-thermal simulation in emerging electronic devices. She is the recipient of the IBM Faculty Partnership award 2003-2005, the 2004 Journal of Electronics Packaging Best Paper award, the 2007 ASABE Best Paper Award, the 2008 ASME HTD Best Paper Award, and the 2009 ASME EPPD Woman Engineer of the Year Award. Prof. Murthy serves on the editorial boards of Numerical Heat Transfer and International Journal of Thermal Sciences and is an editor of the 2nd edition of the Handbook of Numerical Heat Transfer.. She has served on numerous national committees and panels on electronics thermal management and CFD, and is the author of over 250 technical publications.