Materials Informatics Tools in the Context of Bio-Inspired Material Mechanics
Name
jam_90_9_090801.pdf
Description
Published version
Size
1.46 MB
Format
Adobe PDF
Checksum (MD5)
963988523b028092a3f434d8b2ab1932
Author(s)
Luu, Rachel K
Buehler, Markus J
Date Issued
May 26, 2023
Journal
Journal of Applied Mechanics
Publisher
ASME International
Citation
Luu, R. K., and Buehler, M. J. (May 26, 2023). "Materials Informatics Tools in the Context of Bio-Inspired Material Mechanics." ASME. J. Appl. Mech. September 2023; 90(9): 090801.
Version
Final published version
Abstract
The analysis and design of materials is often a slow process that may take weeks, months, or years, and many current material platforms rely on expensive raw material sources that fail to achieve sustainability goals. Meanwhile, bio-inspired Materials Informatics—fueled by emerging techniques such as multiscale modeling, machine learning, and autonomous experimentation—is transforming the way materials are understood, discovered, developed, and selected. The impact of these tools is particularly noteworthy since they can be used to develop materials with fewer resources and with greater societal impact. A field that would strongly benefit from the use of Materials Informatics tools is that of structural biological materials, where mechanical properties are crucial for biological and engineering properties for species survival such as fracture-resistant armor against predators, elastic recovery for repeated loadings, or mechanical actuation capacity. Generations of researchers have studied biological materials for their fascinating structure–property relationships that make up their impressive properties, including mechanical resilience. Despite the accumulation of scientific knowledge, relatively little has been translated to generating engineered bio-inspired materials. Addressing this gap, emerging Materials Informatics tools can now be used to make use of legacy data, newly collected empirical observations, and predictive models to make significant advances in this field.
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/1.4062310
