Title: Adaptive multiple super fast simulated annealing for stochastic microstructure reconstruction

Authors: Seun Ryu; Guang Lin; Xin Sun; Mohammad Khaleel; Dongsheng Li

Addresses: Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland WA 99352, USA ' Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland WA 99352, USA ' Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland WA 99352, USA ' Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland WA 99352, USA ' Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland WA 99352, USA

Abstract: Fast microstructure reconstruction from statistical information is critical to create high resolution image with large domain for materials property prediction. Large structural data generated from multimodality chemical imaging instrumentation also calls for fast microstructure reconstruction for evaluation and interpretation. Stochastic methods in microstructure reconstruction from two-point correlation function have been applied widely in materials and mechanical engineering community. The main challenge is to increase the efficiency of large data reconstruction and reconstruction. A novel simulated annealing method, adaptive multiple super fast simulated annealing, is proposed for fast solution to improve efficiency. Combining the advantage of very fast cooling schedules, dynamic adaption and parallelisation, the new simulation annealing algorithm increases the efficiencies by several orders of magnitude, making the large domain image fusion feasible.

Keywords: microstructure reconstruction; adaptive multiple super fast simulated annealing; correlation function; information fusion; large data; chemical imaging; stochastic methods; fast cooling schedules; dynamic adaption; parallelisation; high resolution images.

DOI: 10.1504/IJTAMM.2013.062161

International Journal of Theoretical and Applied Multiscale Mechanics, 2013 Vol.2 No.4, pp.287 - 297

Received: 18 Oct 2012
Accepted: 25 Feb 2013

Published online: 31 May 2014 *

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