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Investigation of the Sensitivity of Acoustic Emission to the Differentiation Between Mode I, II, and III Fracture in Bulk Polymer Materials

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Representing Structural Isomer Effects in a Coarse-Grain Model of Poly(Ether Ketone Ketone)

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Artificial Intelligence-Driven Modeling for Hydrogel Three-Dimensional Printing: Computational and Experimental Cases of Study

Artificial Intelligence-Driven Modeling for Hydrogel Three-Dimensional Printing: Computational and Experimental Cases of Study

Artificial Intelligence-Driven Modeling for Hydrogel Three-Dimensional Printing: Computational and Experimental Cases of Study

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Additional information

Journal

Polymers
Authors

Harbil Bediaga-Bañeres
Isabel Moreno-Benítez
Sonia Arrasate
Leyre Pérez-Álvarez
Amit K. Halder
M. Natalia D. S. Cordeiro
Humberto González-Díaz
José Luis Vilas-Vilela
Keywords

machine learning; artificial intelligence; database; hydrogel; modeling; bioprinting
Research Material (Figures/Schematic/Math Analysis/Simulation/Code

Available upon request

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