A predictive failure framework for brittle porous materials via machine learning and geometric matching methods Alp Karakoç1, Özgür Keleş2,* 1Aalto University, Department of Bioproducts and Biosystems, Vuorimiehentie 1, Espoo, Finland 2San Jose State University, Chemical and Materials Engineering Department, One Washington Square, San Jose, CA 95192, USA https://link.springer.com/article/10.1007/s10853-019-04339-1 ABSTRACT Brittle porous materials are used in […]
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