Stochastic optimization algorithm based on simulated annealing for the reconstruction of two-dimensional digitized microstructures with a targeted autocovariance function.
$ g++ s2_reco_skolnick.cpp -std=c++11 -O1 -march=native -o yt_s2.x
Paper from which the C++ implementation originates:
- M. Skolnick, and S. Torquato, Understanding degeneracy of two-point correlation functions via Debye random media, Phys. Rev. E, 104 045306 (2021).
Paper from which Mathematica implementation originates:
- Z. Ma and S. Torquato, Generation and structural characterization of Debye random media, Physical Review E, 102 043310 (2020).
Prior work:
- Y. Jiao, F. H. Stillinger, and S. Torquato, A Superior Descriptor of Random Textures and Its Predictive Capacity, Proceedings of the National Academy of Sciences, 106, 17634 (2009).
- C. L. Y. Yeong and S. Torquato, Reconstructing Random Media, Physical Review E, 57, 495 (1998).
- M. D. Rintoul and S. Torquato, Reconstruction of the Structure of Dispersions, Journal of Colloid and Interface Science, 186, 467 (1997).