Massachusetts Institute of Technology – Page 6

Perturbation Analysis of TBR Model Reduction in Application to Trajectory-Piecewise Linear Algorithm for MEMS Structures

Vasilyev D., Rewienski M., White J.K., Massachusetts Institute of Technology, US

MEMS devices generate challenging test cases for nonlinear model order reduction methods, due to their strongly nonlinear behavior. One of the model order reduction methods which can handle this nonlinear behavior is a Trajectory-Piecewise linear [...]

Biomolecule Electrostatic Optimization with an Implicit Hessian

Bardhan J.P., Lee J-H., Altman M.D., Leyffer S., Benson S., Tidor B., White J.K., Massachusetts Institute of Technology, US

Computational rational drug design is the application of computer simulation techniques to improve screening processes for new drugs or to design them de novo. The goal is to identify molecules that have high affinity and [...]

Fast Methods for Biomolecule Charge Optimization

Bardhan J.P., Lee J-H., Kuo S.S., Altman M.D., Tidor B., White J.K., Massachusetts Institute of Technology, US

We report a Hessian-implicit optimization method for linearly constrained quadratic programs. Our research focuses on the energetics of protein-protein interactions, and this method was developed to quickly solve the charge optimization problem: given a ligand [...]

Magnetic Diffusion in Nonlinear Micro-Media: A Modified Finite-Difference Time-Domain Approach

Cros F., Allen M.G., Lang J.H., Massachusetts Institute of Technology, US

As flux densities and frequencies are raised to increase the performance of magnetic micro-actuators, micro-motors/generators, and micro-inductors, eddy currents and magnetic saturation start to limit the performance of these devices. In this paper, we present [...]

Magnetic Diffusion in Nonlinear Micro-Media: A Modified Finite-Difference Time-Domain Approach

Cros F., Allen M.G., Lang J.H., Massachusetts Institute of Technology, US

As flux densities and frequencies are raised to increase the performance of magnetic micro-actuators, micro-motors/generators, and micro-inductors, eddy currents and magnetic saturation start to limit the performance of these devices. In this paper, we present [...]

Efficiency Improvements in Fast Stokes Solvers

De S., Wang X., White J.K., Massachusetts Institute of Technology, US

In this paper we present several techniques to improve the efficiency and accuracy of the precorrected FFT accelerated Fast Stokes solver based on a boundary element discretization of the integral form of the incompressible Stokes [...]

Improving Trajectory Piecewise-Linear Approach to Nonlinear Model Order Reduction for Microm䁡chined Devices Using an Aggregated Projection Basis

Rewienski M., White J.K., Massachusetts Institute of Technology, US

In this paper we present an improved algorithm for nonlinear model order reduction (MOR) based on the trajectory piecewise-linear method proposed in [6] which, as shown before, provides an e ective and eÆcient strategy for [...]

Modeling, Simulation and Design of Piezoelectric Micro-Hydraulic Transducer Devices

Yaglioglu O., Su Y.H., Roberts D.C., Carretero J., Hagood N.W., Massachusetts Institute of Technology, US

This paper reports on modeling, simulation and design considerations for piezoelectric Micro-Hydraulic Transducer (MHT) systems, focusing on power generation applications. Since these devices are complex fluid and structural systems, comprehensive simulation tools are needed for [...]

Modeling a High Power Density MEMS Magnetic Induction Machine

Köser H., Lang J.H., Massachusetts Institute of Technology, US

Most micro-scale electric and magnetic machines studied in the last decade lack the power density to support many practical applications. The magnetic induction machine reported here attempts to transcend this practicality barrier by offering power [...]

Automatic Generation of Small-Signal Dynamic Macromodels from 3-D Simulation

Ramaswamy D., White J.K., Massachusetts Institute of Technology, US

Recent algorithmic developments have greatly accelerated 3-D simulation of micromachined devices, but simulation and optimization of systems which use those devices require much more easily evaluated, yet still accurate, macromodels. In this paper we focus [...]