Effect of Constituent Materials on Composite Performance: Exploring Design Strategies via Machine Learning-Reference-Cited by-同舟云学术

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Effect of Constituent Materials on Composite Performance: Exploring Design Strategies via Machine Learning

Published:2019-04-05 Issue: Volume: Page:1900056
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Adv. Theory Simul.

Author:

Chen Chun‐Teh¹^ORCID,Gu Grace X.²^ORCID

Affiliation:

1. Department of Materials Science and EngineeringUniversity of California Berkeley CA 94720 USA

2. Department of Mechanical EngineeringUniversity of California Berkeley CA 94720 USA

Publisher

Wiley

Subject

Multidisciplinary,Modelling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.201900056

Reference49 articles.

1. 3D-Printing of Lightweight Cellular Composites

2. Biological and Bioinspired Composites with Spatially Tunable Heterogeneous Architectures

3. Hierarchical Fibers with a Negative Poisson’s Ratio for Tougher Composites

4. Layered nanocomposites inspired by the structure and mechanical properties of nacre

5. Materials-by-design: computation, synthesis, and characterization from atoms to structures

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