Developments in 4D-printing: a review on current smart materials, technologies, and applications

Z Zhang, KG Demir, GX Gu - … Journal of Smart and Nano Materials, 2019 - Taylor & Francis
Recent advances in additive manufacturing (AM), commonly known as three-dimensional
(3D)-printing, have allowed researchers to create complex shapes previously impossible …

[HTML][HTML] Biomimetic scaffolds using triply periodic minimal surface-based porous structures for biomedical applications

R Pugliese, S Graziosi - SLAS technology, 2023 - Elsevier
The design of biomimetic porous scaffolds has been gaining attention in the biomedical
sector lately. Shells, marine sponges, shark teeth, cancellous bone, sea urchin spine, and …

Machine learning for composite materials

CT Chen, GX Gu - MRs Communications, 2019 - cambridge.org
Machine learning (ML) has been perceived as a promising tool for the design and discovery
of novel materials for a broad range of applications. In this prospective paper, we summarize …

A Bayesian experimental autonomous researcher for mechanical design

AE Gongora, B Xu, W Perry, C Okoye, P Riley… - Science …, 2020 - science.org
While additive manufacturing (AM) has facilitated the production of complex structures, it has
also highlighted the immense challenge inherent in identifying the optimum AM structure for …

Materials and technical innovations in 3D printing in biomedical applications

H Tetsuka, SR Shin - Journal of Materials Chemistry B, 2020 - pubs.rsc.org
3D printing is a rapidly growing research area, which significantly contributes to major
innovations in various fields of engineering, science, and medicine. Although the scientific …

Accelerating auxetic metamaterial design with deep learning

JK Wilt, C Yang, GX Gu - Advanced Engineering Materials, 2020 - Wiley Online Library
Metamaterials can be designed to contain functional gradients with negative Poisson's ratio
(NPR) that have counterintuitive behavior compared with monolithic materials. These NPR …

Biological material interfaces as inspiration for mechanical and optical material designs

J Ren, Y Wang, Y Yao, Y Wang, X Fei, P Qi… - Chemical …, 2019 - ACS Publications
The extraordinary properties of biological materials often result from their sophisticated
hierarchical structures. Through multilevel and cross-scale structural designs, biological …

FieldPerceiver: Domain agnostic transformer model to predict multiscale physical fields and nonlinear material properties through neural ologs

MJ Buehler - Materials Today, 2022 - Elsevier
Attention-based transformer neural networks have had significant impact in recent years.
However, their applicability to model the behavior of physical systems has not yet been …

Artificial intelligence in materials modeling and design

JS Huang, JX Liew, AS Ademiloye, KM Liew - Archives of Computational …, 2021 - Springer
In recent decades, the use of artificial intelligence (AI) techniques in the field of materials
modeling has received significant attention owing to their excellent ability to analyze a vast …

[HTML][HTML] A review of computational approaches used in the modelling, design, and manufacturing of biodegradable and biobased polymers

BG Laycock, CM Chan, PJ Halley - Progress in Polymer Science, 2024 - Elsevier
The design and manufacture of new biodegradable and bioderived polymeric materials has
traditionally taken place through experimentation and material characterisation. However …