Zhuo Wang1, Jing Feng2, Yingwu Wang3, Yumin Lai3, Shuqian Hou3
1. MatAi Co. LTD, Chengdu, 2. Kunming University of Science and Technology,
3. Yunnan institute of science and technology
Abstract: The Materials Genome initiative (MGI) brings a new insight and opportunity for the discovery and design of advanced materials,the method accelerates the entire procedure from the discovery to the application of advanced materials. The value of the Materials Genome Project lies not only in innovating the material R & D model, accelerating the process and reducing the cost, but also in the development of material science, technology and engineering. Therefore, based on the abundant rare and precious metals resources in Yunnan Province, the good research and industry foundation, and the urgent demand for the development of rare and precious metals in Yunnan province, a general control platform for the materials genome initiative of rare and precious metals materials is needed. The control platform controls all specialized sub-platforms, such as high-throughput computational platforms, materials database platforms and high-throughput experimental platforms. The control platform aims to develop deep application technology integrating large data of various kinds of materials such as machine learning and artificial intelligence, to realize the change from research and development of rare and precious metals to "data-driven research and development". Big data analysis techniques used in rare and precious metal materials research tries to find the reliable Processing-Structure-Property-Performance models. It will accelerate the discovery and design of materilas, reduce the cost and improve the profitability ratios of related companies. It will also play an important part in the development of rare and precious metals industry in Yunnan Province. In this presentation, we will introduce the framework, the construction object and important modules of the platform which will integrate some technologies such as multi-source heterogeneous data fusion, data interface of high-throughput computational platforms and visualization of multi-scale materials data in the platform.
Keywords: Materials Genome Egineering; Rare and precious metal materials; The general control platform
MatAi(材智科技)CEO,高级工程师,中国材料研究学会青年委员会理事。毕业于东北大学信息与计算科学专业,长期从事材料数据库、计算材料学、材料知识系统建设的研究开发工作。曾担任中国科学院“材料基因组工程”咨询课题组成员,中国工程院“战略新兴产业”咨询课题组成员,中国工程院“中国工程科技知识中心”金属材料项目组组长。主导创建了材料数字化研发平台MatAi,金属材料标准性能数据公共服务平台“材易通”。