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An Information-Theoretic Approach to Stochastic Materials Modeling

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2 Author(s)
Zabaras, N. ; Cornell Univ. ; Sankaran, S.

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

Published in:

Computing in Science & Engineering  (Volume:9 ,  Issue: 2 )