Active materials for functional origami
In recent decades, origami has been explored to aid in the design of engineering structures.
These structures span multiple scales and have been demonstrated to be used toward …
These structures span multiple scales and have been demonstrated to be used toward …
Multifunctional mechanical metamaterials based on triply periodic minimal surface lattices
O Al-Ketan, RK Abu Al-Rub - Advanced Engineering Materials, 2019 - Wiley Online Library
In nature, cellular materials exhibit enhanced multifunctionalities driven mainly by their
sophisticated topologies and length scales. These natural systems have inspired the …
sophisticated topologies and length scales. These natural systems have inspired the …
Concurrent stiffening and softening in hydrogels under dehydration
S Xu, Z Zhou, Z Liu, P Sharma - Science Advances, 2023 - science.org
Hydrogels are an extraordinary soft matter system that serve as a laboratory for a rich
plethora of multiphysical phenomena and find applications that range from biocompatible …
plethora of multiphysical phenomena and find applications that range from biocompatible …
Deep learning predicts path-dependent plasticity
Plasticity theory aims at describing the yield loci and work hardening of a material under
general deformation states. Most of its complexity arises from the nontrivial dependence of …
general deformation states. Most of its complexity arises from the nontrivial dependence of …
Mechanics of hard-magnetic soft materials
Soft materials that can undergo rapid and large deformation through the remote and
wireless action of external stimuli offer a range of tantalizing applications such as soft robots …
wireless action of external stimuli offer a range of tantalizing applications such as soft robots …
[HTML][HTML] NN-EUCLID: Deep-learning hyperelasticity without stress data
We propose a new approach for unsupervised learning of hyperelastic constitutive laws with
physics-consistent deep neural networks. In contrast to supervised learning, which assumes …
physics-consistent deep neural networks. In contrast to supervised learning, which assumes …
[图书][B] The mathematics and mechanics of biological growth
A Goriely - 2017 - books.google.com
This monograph presents a general mathematical theory for biological growth. It provides
both a conceptual and a technical foundation for the understanding and analysis of …
both a conceptual and a technical foundation for the understanding and analysis of …
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality
A new data-driven computational framework is developed to assist in the design and
modeling of new material systems and structures. The proposed framework integrates three …
modeling of new material systems and structures. The proposed framework integrates three …
Progress, challenges, and prospects of soft robotics for space applications
Y Zhang, P Li, J Quan, L Li, G Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
The development of space robots is vital to broadening human cognitive boundaries. Space
robots have been deployed in space science experiments, extravehicular operations, and …
robots have been deployed in space science experiments, extravehicular operations, and …
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …
understanding of materials behavior has been the focus of many works in computational …