activity
20202022
most citedIdentifying the elastic isotropy of architectured materials based on deep learning method

29 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

physics.app-ph2022

New perspectives on asymmetric bending behavior: A lesson learned from leaves

Anran Wei, Zhenbin Guo, Fenglin Guo

Designing materials or structures that can achieve asymmetric shape-shifting in response to symmetrically switching stimuli is a promising approach to enhance the locomotion perfor…

cond-mat.mtrl-sci2021

Elastic properties of self-folded two-dimensional nanomaterials: a theoretical model validated by molecular dynamics simulations

Anran Wei, Fenglin Guo

The trade-off between strength and ductility has plagued the design of macroscopic assemblies of two-dimensional materials for a long time. In order to break the strength-ductility…

physics.app-ph2020★ 29 cited

Identifying the elastic isotropy of architectured materials based on deep learning method

Anran Wei, Jie Xiong, Weidong Yang +1

With the achievement on the additive manufacturing, the mechanical properties of architectured materials can be precisely designed by tailoring microstructures. As one of the prima…

cond-mat.mtrl-sci2020★ 3 cited

Prediction of structure-dependent thermal transport behavior in self-folded graphene film validated by molecular dynamics simulation

Anran Wei, Fenglin Guo

Understanding the relationship between the microstructures and overall properties is one of the basic concerns for the material design and applications. As a ubiquitous structural…

physics.app-ph2020

Optimal design of a bilayer for the highest thermal resistance: A lesson learned from the shells of snails from hydrothermal extreme environment

Anran Wei, Haimin Yao

Inspired by the unique design of the shells of snails inhabiting the deep-sea hydrothermal environment, here we theoretically study the temperature response of a bilayer to an exte…