An Integrated Web-based Visual Platform for Materials Informatics
The platform helps material scientists design new materials with:
- Sharing of material data and analysis tools,
- Support for trial-and-error process of data analysis with user-friendly interactive visual interfaces.
Publications:
Jun Fujima, Yuzuru Tanaka, Itsuki Miyazato, Lauren Takahashi, Keisuke Takahashi
‘Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts’
React. Chem. Eng. (2020) 5 (5), 903-911.
https://doi.org/10.1039/D0RE00098A
‘Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts’
React. Chem. Eng. (2020) 5 (5), 903-911.
https://doi.org/10.1039/D0RE00098A
Mikael Kuwahara, Jun Fujima, Keisuke Takahashi, Lauren Takahashi
‘Improving scientific image processing accessibility through development of graphical user interfaces for scikit-image’
Journal: Digital Discovery, The Royal Society of Chemistry, (2023 Apr 21).
https://doi.org/10.1039/D3DD00061C
‘Improving scientific image processing accessibility through development of graphical user interfaces for scikit-image’
Journal: Digital Discovery, The Royal Society of Chemistry, (2023 Apr 21).
https://doi.org/10.1039/D3DD00061C
Data Management
Upload data source for data analysis
Analysis
Analyze and visualize data sources in the exploratory visual analytics environment
Prediction
Predict materials properties with stored pre-trained models
© 2018 MADS/CADS development team
This work is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.