Rapid Establishment and High Returns of Material Genomic Data Platforms

Wang Zhuo^1,2*

¹ Chengdu MatAi Technology CO., Ltd, Chengdu, 610041, China

² Light Alloy Research Institute, Central South University, Changsha, 410083, China

ABSTRACT: As a new approach to materials science within the fourth paradigm of science, materials research and development requires tools to enable it. A materials genomic data platform (MGEP) software will integrate materials data collection, data management, software integration, and comprehensive data applications. Lack of data is a bottleneck for global materials research. For the collection of experimental equipment data, literature data, and material calculation data, the MGEP provides tools to realize rapid and accurate acquisition and analysis of various types of data. Especially for literature data collection, MatAi has successfully developed a literature data processing system, which realizes the convergence and integration of high-value data in massive literature through digital analysis, extraction and structured storage of literature data. Material data is massive, complex, dispersed, fragmented, and constantly growing, the MGEP needs to provide systematic and structural design functions with good scalability and flexibility, and construct high quality and standardized gene data set for the whole life cycle of materials. Based on Integrated computational materials engineering (ICME) and Materials Genome Initiative (MGI), the MGEP integrates cross-scale material computing software from quantum mechanics to material service, and invokes high-performance computing clusters based on concurrent computing driver engines to achieve integrated management of material computing simulation and data integration. The integration of machine learning, artificial intelligence and other technologies with the MGEP will provide new ideas for understanding the relationship between material composition, process, structure and properties. The MGEP will effectively mine the patterns hidden in material data, improve data utilization, shorten the material development cycle, and reduce material development costs. In this paper, the establishment and application status of MGEP under the framework of material genetic engineering will be discussed.

Keywords: data-driven; data platform; data acquisition; data management; machine learning;