J Wang, H Shen, R Yang, K Xie, C Zhang, L Chen… - Carbon, 2022 - Elsevier
Interatomic potentials based on neural-network machine learning method have attracted considerable attention in recent years owing to their outstanding ability to balance the …
Despite a wide range of current and potential applications, one primary concern of brittle materials is their sudden and swift collapse. This failure phenomenon exhibits an inability of …
F Shuang, Z Dai, KE Aifantis - ACS Applied Materials & Interfaces, 2021 - ACS Publications
A promising materials engineering method for improving the strength of crystalline materials is to add obstacles to dislocation motion that induce interface hardening (IH) or precipitate …
F Shuang, KE Aifantis - Applied Surface Science, 2021 - Elsevier
Graphene nanosheets (GNS) can enhance the strength and ductility of metal-based composites as they can obstruct the propagation of dislocations. The present article employs …
Molecular mechanics models like the molecular structural mechanics (MSM) model have been proven to be a valuable tool for the investigation of carbon nanotubes. This class of …
Y Wang, W Nie, L Wang, D Zhang, K Niu… - Computational Materials …, 2023 - Elsevier
Understanding the interfacial behavior of graphene-polymer nanocomposite is a long- standing endeavor to gain deep insight into the mechanical properties of engineered …
Solids exhibit transverse shrinkage when they are stretched, except auxetics that abnormally demonstrate lateral expansion instead. Graphene possesses the unique normal-auxeticity …
MZ Hossain, T Ahmed, B Silverman… - Journal of the …, 2018 - Elsevier
This paper presents the implication of crystallographic orientation on toughness and ideal strength in graphene under lattice symmetry-preserving and symmetry-breaking …
The macroscopic behaviors of materials are determined by interactions that occur at multiple lengths and time scales. Depending on the application, describing, predicting, and …