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国内首个AI+MGI干湿法一体生物基新材料(合成生物)智能研发创新中心启动
Xin Hua Wang· 2025-09-05 06:59
Core Insights - The establishment of the first "AI + MGI (Material Genome Initiative)" driven "Dry-Wet Integrated Polysaccharide Biobased Material Innovation Laboratory" in Taizhou, Zhejiang marks a significant advancement in digital R&D for biobased materials in China, filling a gap in collaborative R&D for polysaccharide biobased materials [1] - The laboratory aims to create a replicable and sustainable innovation ecosystem through a model of "government guidance, platform operation, enterprise participation, and industry-university-research collaboration," referred to as the "Huangyan Sample" [1] - The laboratory focuses on the development of biodegradable and low-carbon polysaccharide materials, which is a key step in Taizhou Huangyan's transition towards high-end, intelligent, and green manufacturing [1] Summary by Sections Laboratory Functionality - The laboratory integrates "dry experiments" (computational simulations) and "wet experiments" (physical synthesis testing), significantly reducing the time and number of experiments needed for developing new materials [2] - Companies can now quickly receive optimal solutions for their needs, enhancing innovation capabilities and efficiency [2] Collaboration and Ecosystem - The laboratory brings together government, enterprises, universities, and research institutions, with the professional platform "Zhigeng" responsible for its operation, emphasizing a "demand-driven, complementary advantages" approach [1][2] - The collaboration fosters a more focused research direction, addressing practical challenges such as production stability and cost control, thus enhancing the practical value of academic research [2] Broader Implications - The Huangyan laboratory serves as an innovative hub connecting government, industry, academia, and research, facilitating faster market entry for technological achievements [2] - The model established by the laboratory is seen as a valuable "Chinese solution" for the large-scale implementation of cutting-edge technologies like AI + MGI, with potential applications in various fields such as new energy, biomedicine, and semiconductors [2]