𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A data-driven approach for reduction of molecular simulations

✍ Scribed by Cihan Oguz; Martha A. Gallivan


Book ID
104590789
Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
224 KB
Volume
15
Category
Article
ISSN
1049-8923

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Stochastic simulations based on non‐equilibrium statistical mechanics describe the interactions among many discrete atoms or molecules, and thus describe the dynamics of materials processing in applications ranging from inorganic crystalline films to amorphous polymer melts. In general, non‐equilibrium thermodynamics does not directly yield a closed, low‐dimensional dynamic equation, although such a model would be desirable to analyse the dynamics and to optimize and control the process. A practical approach is described here in which targeted simulations are combined with systematic tools to elucidate the dynamics. Copyright Β© 2005 John Wiley & Sons, Ltd.


πŸ“œ SIMILAR VOLUMES


Estimation of wind speed: A data-driven
✍ Andrew Kusiak; Wenyan Li πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 369 KB

A method for prediction of wind speed at a selected location based on the data collected at neighborhood locations is presented. The affinity of wind speeds measured at different locations is defined by Pearson's correlation coefficient. Five turbines with similar wind conditions are selected among