1、Materials Informatics: The Materials “Gene” and Big Data
3、Selecting, storing and handling lab (meta)data: a materials case
4、Adaptive Strategies for Materials Design using Uncertainties
5、Machine-learning-assisted materials discovery using failed experiments
6、Materials Data Analytics:A Path-Finding Workshop
7、Materials Data Science: Current Status and Future Outlook
8、The High-Highway to Computaional Materials Design
9、Informatics for/ from Electronic Structure to Microstructure
10、The Materials Project: A materials genome approach to accelerating materials innovation（2013）
材料数据存储方面：
1、 （2014）h5ebsd: an archival data format for electron back-scatter diffraction data sets
