Nature-Inspired Optimization Algorithms for the 3D Reconstruction of Porous Media

One of the most challenging problems that are still open in the field of materials science is the 3D reconstruction of porous media using information from a single 2D thin image of the original material. Such a reconstruction is only feasible subject to some important assumptions that need to be mad...

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Auteurs principaux:	George A. Papakostas, John W. Nolan, Athanasios C. Mitropoulos
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-03-01
Collection:	Algorithms
Sujets:	3d material reconstruction porous media nature-inspired algorithms optimization correlation functions
Accès en ligne:	https://www.mdpi.com/1999-4893/13/3/65
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