An Information-Theoretic Approach to Stochastic Materials Modeling
Nicholas J. Zabaras, Sethuraman Sankaran · Computing in Science & Engineering · 2007
An approach derived from information-theoretic principles can help researchers build stochastic microstructural models. This approach involves extracting topological information from microstructural samples and using this information to build a stochastic model. To generate huge databases of stochastic material models, the authors thus propose using an information-learning algorithm to train a network for statistical outputs