Mechanical metamaterials and beyond

P Jiao, J Mueller, JR Raney, X Zheng… - Nature communications, 2023 - nature.com
Mechanical metamaterials enable the creation of structural materials with unprecedented
mechanical properties. However, thus far, research on mechanical metamaterials has …

Deep learning in mechanical metamaterials: from prediction and generation to inverse design

X Zheng, X Zhang, TT Chen, I Watanabe - Advanced Materials, 2023 - Wiley Online Library
Mechanical metamaterials are meticulously designed structures with exceptional
mechanical properties determined by their microstructures and constituent materials …

Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling

L Zheng, K Karapiperis, S Kumar… - Nature …, 2023 - nature.com
The rise of machine learning has fueled the discovery of new materials and, especially,
metamaterials—truss lattices being their most prominent class. While their tailorable …

Target‐Driven Design of Deep‐UV Nonlinear Optical Materials via Interpretable Machine Learning

M Wu, E Tikhonov, A Tudi, I Kruglov, X Hou… - Advanced …, 2023 - Wiley Online Library
The development of a data‐driven science paradigm is greatly revolutionizing the process of
materials discovery. Particularly, exploring novel nonlinear optical (NLO) materials with the …

Micro‐Scale Mechanical Metamaterial with a Controllable Transition in the Poisson's Ratio and Band Gap Formation

KK Dudek, JA Iglesias Martínez, G Ulliac… - Advanced …, 2023 - Wiley Online Library
The ability to significantly change the mechanical and wave propagation properties of a
structure without rebuilding it is currently one of the main challenges in the field of …

Recent advances and applications of machine learning in experimental solid mechanics: A review

H **, E Zhang, HD Espinosa - Applied …, 2023 - asmedigitalcollection.asme.org
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …

Breaking the tradeoffs between different mechanical properties in bioinspired hierarchical lattice metamaterials

P Wang, F Yang, B Zheng, P Li, R Wang… - Advanced Functional …, 2023 - Wiley Online Library
It is a long‐standing challenge to break the tradeoffs between different mechanical property
indicators such as the strength versus toughness in the design of lightweight lattice …

Automated discovery of reprogrammable nonlinear dynamic metamaterials

G Bordiga, E Medina, S Jafarzadeh, C Bösch… - Nature Materials, 2024 - nature.com
Harnessing the rich nonlinear dynamics of highly deformable materials has the potential to
unlock the next generation of functional smart materials and devices. However, unlocking …

Machine learning-enabled forward prediction and inverse design of 4D-printed active plates

X Sun, L Yue, L Yu, CT Forte, CD Armstrong… - Nature …, 2024 - nature.com
Shape transformations of active composites (ACs) depend on the spatial distribution of
constituent materials. Voxel-level complex material distributions can be encoded by 3D …

Shape memory mechanical metamaterials

H Yang, N D'Ambrosio, P Liu, D Pasini, L Ma - Materials Today, 2023 - Elsevier
Shape memory materials can maintain temporary shapes without external constraints and
revert to their permanent shape upon exposure to an external stimulus, such as heat, light …