工作流程
杠杆(统计)
云计算
自动化
计算机科学
测距
分布式计算
工程类
人工智能
操作系统
机械工程
数据库
电信
作者
Di Zhang,Xue Jia,Heng Liu,Yuhang Wang,Songbo Ye,Qiuling Jiang,Yuan Wang,Linda Zhang,Wei Li,Weijie Yang,Haoxiang Xu,Daojian Cheng,Yusuke Hashimoto,Takaaki Tomai,Hao Li
标识
DOI:10.26434/chemrxiv-2024-jsqqn
摘要
The Digital Catalysis Platform (DigCat) pioneers a revolutionary framework for cloud-based synthesis and global closed-loop feedback, redefining catalyst research through advanced automation and collaboration. By integrating >400,000 experimental and >400,000 structural data points with cutting-edge AI tools, DigCat streamlines catalyst discovery and optimization into a seamless, automatic, and data-driven workflow. Through its five-step process—ranging from material design to pH-dependent microkinetic modeling—the platform delivers unparalleled accuracy and efficiency. Accessible globally via the cloud, DigCat enables researchers worldwide to leverage its robust computational capabilities, driving the development of next-generation catalysts with enhanced stability and performance.
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