Dataset: Predicting densities and elastic moduli of SiO2-based glasses by machine learning
| Workflow | Description | Updated | Date |
|---|
| Workflow | Description | Updated | Date |
|---|
@misc{mc1Hu2024,
doi = {10.13011/m3-4kwv-g523},
url = {https://materialscommons.org/public/datasets/1},
author = {{Yong-Jie Hu}},
title = {Predicting densities and elastic moduli of SiO2-based glasses by machine learning},
publisher = {Materials Commons},
year = {2024}
}
You can optionally create an account on Materials Commons. Creating an account gives you many benefits, such as being able to follow a dataset. Following a dataset will let you know if the dataset has changed.
You can optionally create an account on Materials Commons. Creating an account gives you many benefits, such as being able to follow a dataset. Following a dataset will let you know if the dataset has changed.
You can now use Jupyter Notebooks with Materials Commons. Materials Commons provides the following benefits to Jupyter Notebooks:
To learn more, read our online documentation.
To get started you can download one of our Jupyter Notebook templates:
Questions, suggestions or need help? You can email us!
Materials Commons will help you to organize, track and publish your research.
It can be confusing learning a new system. We have guides to help you get started. To start everything in Materials Commons is organized around a project. The "CREATE PROJECT" button will guide you through setting up your first project and using the system.
If you are the type who prefers to start with documentation we've also included a link to our Getting Started guide. Don't worry about dismissing this dialog, you can always get back to it by clicking on the Help button. The help popup has a button titled "Welcome Dialog" that will bring this dialog up.
No tour is available for this page.