Digital Catalysis Platform (DigCat): A Gateway to Big Data and AI-Powered Innovations in Catalysis

20 December 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

The Digital Catalysis Platform (DigCat) is a pioneering integration of big data and AI tailored for catalysis materials research. It encompasses over 400,000 experimental performance data for electro-, thermo-, and photocatalysts, alongside more than 300,000 catalyst structures. DigCat provides dynamic data visualization, precise literature tracking, and an intelligent Q&A assistant, supported by advanced tools for on-the-cloud microkinetic modeling, machine learning force field training, and regression model development. Additionally, it features an AI-powered chatbot grounded in catalytic data and knowledge. As a pioneering digital catalysis platform and the world’s first publicly released full electrocatalysis experimental database, DigCat has made valuable contributions to advancing the field. Since its official launch in January 2024, the platform has been upgraded to Version 3.0 as of September 2024. Access DigCat at https://www.digcat.org.

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