Data underlying the PhD thesis: Nonlinear Mechanics of Suspended Ultra-thin Membranes, From Molecular Dynamics to Continuum Mechanics
doi: 10.4121/2ccefce4-a5a0-45a6-b2c9-87e7cf711c48
This dataset contains the dissertation's figures, data, simulation models, and program codes for chapter 2, 3, and 4. All of the figures, data, and codes are written and produced by the commercial software MATLAB. The FEM simulation models are also created using ANSYS Workbench software and molecular dynamic simulation codes are written for LAMMPS software.
These chapters are published in renowned academic journals.
Chapter 2 is published with the title "Nonlinear elasticity of wrinkled atomically thin membranes".
Chapter 4 is published with the title "Quantifying stress distribution in ultra-large graphene drums through mode shape imaging".
Chapter 4 is published with the title "Pressure-induced nonlinear resonance frequency changes for extracting Young’s modulus of nanodrums".
- 2024-12-05 first online, published, posted
- European Union’s Horizon 2020 research and innovation programme (ERC grant ENIGMA) (grant code 802093) European Union
DATA - restricted access
Reason
The data and codes are in a form where they are not reusable without first consulting the authors.
End User Licence Agreement
- Usage Rights: Access to the dataset and code is restricted to users who have obtained explicit permission from the authors. To gain access, users must submit a formal request detailing their intended purpose of use.
- Citation Requirement: Users must properly cite the original authors’ work in any publications, presentations, or disseminations derived from the dataset or code. Citations must follow the format specified by the authors.
- Non-Commercial Use: The dataset and code are strictly for non-commercial research purposes. Commercial use is prohibited unless explicitly authorized by the authors in writing.
- Redistribution Prohibition: Users are not permitted to redistribute the dataset or code in any form. Interested parties must follow the same request process to obtain access.
- Modifications: Any modifications to the code or derived datasets must include proper citations and acknowledgment of the original authors.
- Reporting Results: Users are encouraged to share their research outcomes with the original authors. Collaborative opportunities for publishing results are welcomed where applicable.
- Data Security and Confidentiality: Users are responsible for ensuring the dataset and code are stored securely and handled in compliance with applicable data protection and confidentiality laws, including EU GDPR regulations.
- Liability Disclaimer: The authors make no warranties regarding the dataset or code and are not liable for any errors, inaccuracies, or damages arising from their use.
- Usage Monitoring: The authors reserve the right to request updates on the use of the dataset and code to ensure compliance with this agreement.
- Revocation of Access: Failure to comply with the terms of this agreement may result in the revocation of access to the dataset and code.
- Prohibition of Misuse: The dataset and code must not be used for unethical, illegal, or harmful activities.
Your request will be sent to the owner of the dataset.
