2008 Annual Meeting
(546g) Temperature Accelerated Dynamics Based Kinetic Monte Carlo Method
Authors
To overcome these shortcomings of the two methods, we introduce a TAD-based KMC method that generates an on-the-fly process catalog with a prescribed confidence level. The process catalog provides rate information regarding the possible escape pathways from visited potential energy basins to neighboring basins. For the first time confidence measures associated with the TAD process catalogs are derived, which guarantees that the process catalog contains all the relevant escape pathways for the confidence level chosen. The system evolution is studied by employing the KMC method. Computational requirement of the TAD-based KMC method is discussed. In addition, the local TAD-based KMC is discussed, which exploits past visit to similar local atomic environments and provides additional computational speed-up while retaining accuracy of molecular dynamics. Finally, domain decomposition strategies based on the TAD-based KMC method, that can access even larger length and time scales, are discussed. The application of TAD-based KMC method to metal alloys and oxide materials for electronic, catalytic and energy applications is discussed.