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Cloud synthesis: a global closed-loop feedback powered by autonomous AI-driven catalyst design agent

Di Zhang, Xue Jia, Heng Liu, Yuhang Wang, Songbo Ye, Qiuling Jiang, Yuan Wang, Zhongyuan Guo, Linda Zhang, Li Wei, Weijie Yang, Hui Liu, Shun Zhao, Haoxiang Xu, Daojian Cheng, Yusuke Hashimoto, Takaaki Tomai, Hao Li

2025AI Agent11 citationsDOIOpen Access PDF

Abstract

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, automated, 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.

Topics & Concepts

Leverage (statistics)AutomationProcess (computing)Computer scienceCloud computingRangingSystems engineeringEngineeringCatalysisRobustness (evolution)Streamlines, streaklines, and pathlinesStability (learning theory)Control engineeringProcess designEngineering design processProcess engineeringMachine Learning in Materials ScienceCatalysis and Oxidation ReactionsAmmonia Synthesis and Nitrogen Reduction