Computational design of mechanical metamaterials

Bonfanti S, Hiemer S, Zulkarnain R, Guerra R, Zaiser M, Zapperi S (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Nature Computational Science Nature Research

Book Volume: 4

Pages Range: 574-583

Journal Issue: 8

DOI: 10.1038/s43588-024-00672-x

Abstract

In the past few years, design of mechanical metamaterials has been empowered by computational tools that have allowed the community to overcome limitations of human intuition. By leveraging efficient optimization algorithms and computational physics models, it is now possible to explore vast design spaces, achieving new material functionalities with unprecedented performance. Here, we present our viewpoint on the state of the art of computational metamaterials design, discussing recent advances in topology optimization and machine learning design with respect to challenges in additive manufacturing.

Authors with CRIS profile

Michael Zaiser Lehrstuhl für Werkstoffsimulation

Involved external institutions

Università degli studi di Milano IT Italy (IT)

How to cite

APA:

Bonfanti, S., Hiemer, S., Zulkarnain, R., Guerra, R., Zaiser, M., & Zapperi, S. (2024). Computational design of mechanical metamaterials. Nature Computational Science, 4(8), 574-583. https://doi.org/10.1038/s43588-024-00672-x

MLA:

Bonfanti, Silvia, et al. "Computational design of mechanical metamaterials." Nature Computational Science 4.8 (2024): 574-583.

BibTeX: Download