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Enhancing catalysis studies with chat generative pre-trained transformer (ChatGPT): Conversation with ChatGPT.

Navid AnsariVahid BabaeiMohammad Mahdi Najafpour
Published in: Dalton transactions (Cambridge, England : 2003) (2024)
The progress made in natural language processing (NLP) and large language models (LLMs), such as generative pre-trained transformers, (GPT) has provided exciting opportunities for enhancing research across various fields. Within the realm of catalysis studies, GPT-driven models present valuable support in expediting the exploration and comprehension of catalytic processes. This research underscores the significance of ChatGPT in catalysis research, emphasizing its prowess as a valuable tool for furthering scientific inquiries. It suggests that for an outstanding oxygen evolution reaction (OER) catalyst as a case study, scientists can leverage ChatGPT to extract deeper insights and brainstorm innovative approaches to grasp the mechanism better and refine current systems.
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