Abstract
The mechanical properties of hydrogen functionalized graphene (HFG) sheets werepredicted in this work by using artificial neural network approach. Thepredictions of tensile strength of HFG sheets made by the proposed approach arecompared to those generated by molecular dynamics simulations. The resultsindicate that our proposed computing technique can be used as a powerful toolfor predicting the tensile strength of the HFG sheet.
| Original language | English |
|---|---|
| Article number | 83 |
| Journal | Journal of Nanostructure in Chemistry |
| Volume | 3 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Dec 2013 |
| Externally published | Yes |
Keywords
- Artificial neural network
- Atomistic simulation
- Hydrogen functionalized graphene
- Nanomechanics
- Tensile
Fingerprint
Dive into the research topics of 'Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver