Journal
INTERNATIONAL MATERIALS REVIEWS
Volume 66, Issue 6, Pages 365-393Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/09506608.2020.1815394
Keywords
Mechanical metamaterials; artificial intelligence; machine learning
Categories
Funding
- Fundamental Research Funds for the Central Universities, China [2020-KYY-529112-0002]
- Hundred Talented programme at the Zhejiang University, China
- Swanson School of Engineering at the University of Pittsburgh
Ask authors/readers for more resources
Recent research in mechanical metamaterials has shifted towards using artificial intelligence techniques for designing, optimizing, and characterizing these materials. This new direction aims to address the challenges in mechanical metamaterials and explore the potential of AI-enabled mechanical metamaterials for future innovations.
Mechanical metamaterials have opened an exciting venue for control and manipulation of architected structures in recent years. Research in the area of mechanical metamaterials has covered many of their fabrication, mechanism characterisation and application aspects. More recently, however, a paradigm shift has emerged to an exciting research direction towards designing, optimising and characterising mechanical metamaterials using artificial intelligence (AI) techniques. This new line of research aims at addressing the difficulties in mechanical metamaterials (i.e. design, analysis, fabrication and industrial application). This review article discusses the advent and development of mechanical metamaterials, and the future trends of applying AI to obtain smart mechanical metamaterials with programmable mechanical response. We explainwhyarchitected materials and structures have prominent advantages,whatare the main challenges in the mechanical metamaterial research domain, andhowto surpass the limit of mechanical metamaterials via the AI techniques. We finally envision the potential research avenues and emerging trends for using the AI-enabled mechanical metamaterials for future innovations.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available