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Computational design of innovative mechanical metafilters via adaptive surrogate-based optimization

  • Published:2021-03 Issue: Volume:375 Page:113623
  • ISSN:0045-7825
  • Container-title:Computer Methods in Applied Mechanics and Engineering
  • language:en
  • Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Bacigalupo Andrea,Gnecco Giorgio,Lepidi Marco,Gambarotta Luigi

Funder

(MIUR) Italian Ministry of Education, University and Research

National Group of Mathematical Physics, Italy

University of Trento, Italy

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference61 articles.

1. On design of multi-functional microstructural materials;Cadman;J. Mater. Sci.,2013

2. Machine learning in materials informatics: recent applications and prospects;Ramprasad;npj Comput. Mater.,2017

3. Deep-learning-enabled on-demand design of chiral metamaterials;Ma;ACS Nano,2018

4. Mechanical design and multifunctional applications of chiral mechanical metamaterials: A review;Wu;Mater. Des.,2019

5. Multiscale modeling and optimization of the mechanics of hierarchical metamaterials;Kochmann;MRS Bull.,2019

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