Is ChatGPT a Reliable Source for Writing Review Articles in Catalysis Research? A Case Study on CO2 Hydrogenation to Higher Alcohols

Qitong Zhong; Xing Tan; Ruixing Du; Jiacheng Liu; Longfei Liao; Cheng Wang; Ruiyan Sun; Zhenchen Tang; Jie Ren; Chalachew Mebrahtu; Feng Zeng

doi:10.20944/preprints202302.0292.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 16 February 2023 / Approved: 17 February 2023 / Online: 17 February 2023 (03:11:31 CET)

ChatGPT is an AI language model trained on vast amounts of text data, including scientific papers, providing a comprehensive understanding of catalysis. However, its reliability in catalysis research is unknown. To evaluate reliability, we compared a ChatGPT-generated review article on heterogeneous catalysts for higher alcohols synthesis by CO₂ hydrogenation to published peer-reviewed papers. Although the ChatGPT review article covers most necessary parts, it lacks sufficient discussion of the reaction mechanism. The core sections are too general, being not specific enough to the topic, and contain errors. The lack of citations further increases unreliability. While ChatGPT can provide much content on catalysis, it is insufficient and inaccurate for research on specific topics.

ChatGPT; heterogeneous catalysis; CO2 hydrogenation; reliability

Chemistry and Materials Science, Chemical Engineering

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Is ChatGPT a Reliable Source for Writing Review Articles in Catalysis Research? A Case Study on CO2 Hydrogenation to Higher Alcohols

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