Development & Implementation of Efficient Numerical & High-performance Computational Techniques 

Here, we seek to develop better numerical techniques and model reduction techniques to solve complex process models (e.g. PBM and PBM-DEM ) with reduced simulation times whilst maintaining high accuracy. We also work on the massive parallelization of population balance models using high performance and distributed computing techniques. 

List of Publications from this Research Area:

 

© 2018 by Tamrakar, Sampat & Chaturbedi. All rights reserved.

 

Parallel Computing

Piechart representation of MATLAB's profiler results for a serial version of the 4-D granulation PBM code run on a single worker