Yang Li1, Jianjiang Li1, Peng Shi2, Xiaoning Qin3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 615-624, 2019, DOI:10.31209/2019.100000116
Abstract The applications to process large amounts of materials scientific data at
different scales, have been placed the field of materials science on the verge of
a revolution. This domain faces serious challenges, including diversity of format
of scientific data, and missing unified platform for sharing. A Virtual DataSpace
model and the evolution model is introduced to organize heterogeneous data
according to the user requirements and track the variations of data. The open
cloud model is embedded in a materials scientific data sharing platform in our
experiments to verify its effectiveness. The results show the model More >
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