YuYang LIU
Deep Verse (Shanghai) LTD, No. 1559 Pudong Avenue, Shanghai, 200135, China 

EXTENDED ABSTRACT: With the rapid development of modem materials science and engineering, how to efficiently and quickly discover and design new materials has become a common focus in both the scientific research and industrial sectors. Materials informatics and materials genome engineering offer an effective approach, enabling us to utilize data-driven methods in material design and significantly enhance the speed and accuracy of new material discoveries. The clearer approach we proposed will reduce the overall R&D cycle, help to make talent and capital investment be more precise, and effectively link interdisciplinary knowledge for the industry. The "small data" in the materials domain and the validation in industrial applications bring both new challenges and opportunities. DeepVerse is committed to integrating advanced computational physics, artificial intelligence, and experimental verification to achieve high-throughput material screening, rapid performance prediction, and optimized material design. We provide support and services for materials R&D, realizing rapid iterations from data to design. Effectively optimize the input-output structure of the material industry and help the industry generate more implementable material solutions.For the development of new materials in the industry, we adopt methods such as data fusion, feature extraction, physics-inspired models, and validation tests, that has achieved efficient screening and design of new materials in multiple practical application cases in real-world. Currently,we have established collaborations with MNCs and research institutions, empowering enterprises and industrial clusters of all sizes and hoping to further promote the industrial application of our research results. "In the context of the rapid development of new energy vehicles, we have helped a power battery company to optimize the formula based on less data to achieve performance improvement and reduce costs at the same time. In addition, we have also reached a joint research and development model with a polymer company. At this forum, we look forward to engaging in-depth discussions with experts from all sectors, jointly promoting the development of materials genome engineering and laying a solid foundation for the innovation of future materials science.

Keywords: Materials Informatics; Artificial Intelligence; Industrial Application;