Issue 31, 2020

Discovery and design of soft polymeric bio-inspired materials with multiscale simulations and artificial intelligence

Abstract

Materials chemistry is at the forefront of the global “Fourth Industrial Revolution”, in part by establishing a “Materials 4.0” paradigm. A key aspect of this paradigm is developing methods to effectively integrate hardware, software, and biological systems. Towards this end, we must have intimate knowledge of the virtual space in materials design: materials omics (materiomics), materials informatics, computational modelling and simulations, artificial intelligence (AI), and big data. We focus on the discovery and design of next-generation bio-inspired materials because the design space is so huge as to be almost intractable. With nature providing researchers with specific guiding principles, this material design space may be probed most efficiently through digital, high-throughput methods. Therefore, to enhance awareness and adoption of digital approaches in soft polymeric bio-inspired materials discovery and design, we detail multiscale simulation techniques in soft matter from the molecular level to the macroscale. We also highlight the unique role that artificial intelligence and materials databases will play in molecular simulations as well as soft materials discovery. Finally, we showcase several case studies that concretely apply computational modelling and simulations for integrative soft bio-inspired materials design with experiments.

Graphical abstract: Discovery and design of soft polymeric bio-inspired materials with multiscale simulations and artificial intelligence

Article information

Article type
Review Article
Submitted
04 апр. 2020
Accepted
04 јун. 2020
First published
04 јун. 2020

J. Mater. Chem. B, 2020,8, 6562-6587

Discovery and design of soft polymeric bio-inspired materials with multiscale simulations and artificial intelligence

C. Zhai, T. Li, H. Shi and J. Yeo, J. Mater. Chem. B, 2020, 8, 6562 DOI: 10.1039/D0TB00896F

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements