Advanced Materials & Manufacturing – Page 625

A Neural-Network-Based-Method on Speed Control of Ultrasonic Motors

Liang Y.C., Shi X.H., Lee H.P., Lee K.H., Lin W.Z., Xu X., Lim S.P., Lee H.P., Lee K.H., Jilin University, CN

An improved Elman network models, output-input feedback (OIF) Elman networks is proposed based on the modified Elman network. A neural-network-based iteration control system (NNICS)) is developed by using the OIF Elman network as a passageway [...]

Proper Orthogonal Modes for Macromodel Generation for Complex MEMS Devices

Lin W.Z., Lee K.H., Lim S.P., Institute of High Performance Computing, SG

In this paper, a novel method for macromodel generation for the dynamic analysis of structurally complex MEMS devices is developed by making use of proper orthogonal decomposition (POD) and classical component mode synthesis (CMS). The [...]

Calculation of Shock Waves and Temperatures of FCC Single Crystals (Nickel) using Large-Scale Molecular Dynamics

Kum O., Clemson University, US

Multimillion-atom molecular dynamics simulations using double-SPMD (SPSPMD) have been applied to calculate fcc single crystal, Nickel, shock wave and temperature profiles on a CrayT3E. Three well known model potentials, analytical EAM, Morse type simple pair, [...]

Convergence Acceleration Techniques

Jentschura U.D., Aksenov S.V., Mohr P.J., Savageau M.A., Soff G., Universität Freiburg, DE

This work describes numerical methods which are useful in many areas: examples include statistical modelling (bioinformatics, computational biology), theoretical physics, and even pure mathematics. The methods are primarily useful for the acceleration of slowly convergent [...]

ABC: A double-conversion compiler/solver for nanoscopic calculus

Kulik I.O., Bilkent University, TR

The progress and demand of nanoscience, nanotechnology and molecular electronics is ultimately related to the progress and the perspectives of computational science. We report on the development of a new computing device which was termed [...]

Converging Technologies (NBIC)

Bainbridge W.S., National Science Foundation, US

The convergence of nanotechnology, biotechnology, information technology and cognitive science can greatly improve human performance over the next ten to twenty years. The chief areas of application include: expanding human cognition and communication, improving human [...]

Coarse-Grained Molecular Dynamics for Nano-Design

Rudd R.E., Lawrence Livermore National Laboratory, US

The design of nanoscale mechanical systems poses a novel set of challenges for modeling and simulation. The need for an accurate model of the nanoscale components is clear. This can be of the form of [...]

A Numerical Model of Viscoelastic Flows in Microchannels

Trebotich D., Colella P., Miller G., Liepmann D., Lawrence Livermore National Laboratory, US

We present a numerical method to model non-Newtonian, viscoelastic flow at the microscale. The equations of motion are the incompressible Navier-Stokes equations coupled with the Oldroyd-B constitutive equation. This constitutive equation is chosen to model [...]

Evolving Molecular Force Field Parameters for Si and Ge

Globus A., Ricks E., Menon M., Srivastava D., CSC at NASA Ames, US

A genetic algorithm (GA) has been developed to fit parameters for multi-species reactive inter-atomic force field functions. While GA has successfully parameterized force fields in the past [Hunger, Beyreuther, Huttner, Allinger, Radelof, Zsolnai (1998), Hunger, [...]

Nonlinear Dynamical Aspects of Atomic Scale Friction

Conley W.G., Raman A., Krousgrill C.M., Purdue Univerrsity, US

This work presents a detailed computational and analytical investigation of Tomlinsons model for atomic scale dry friction [1]. The model (Figure 1) describes a prototypical mechanism of energy dissipation from an atom dragged across a [...]