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Perspective | Open Access

ChatGPT for Computational Materials Science: A Perspective

School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
Cyrus Tang Center for Sensor Materials and Applications, State Key Laboratory of Silicon Materials, Zhejiang University, Hangzhou, Zhejiang 310027, China
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Abstract

ChatGPT has become a very popular artificial intelligence tool recently, with the ability to “chat” with human beings. It can perform some challenging tasks such as writing essays, coding, composing, painting, etc. While the roles of ChatGPT in helping with literature reviews and language editing have been widely debated, the potential applications of ChatGPT in computational materials science have yet to be discussed. Herein, we will briefly discuss 3 aspects that ChatGPT could potentially be applied for computational materials science, i.e., building structures, writing codes for specific scientific software, and preparing data visualization scripts. It is found that while ChatGPT can make some simple mistakes when trying to accomplish general tasks, it has the ability to learn from our words when interacting with us. Meanwhile, we should also pay attention to some problems such as the consistency of the output, hidden errors, and ethical concerns. We hope that this perspective will spur further interest in the potential applications of ChatGPT in computational materials science.

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Energy Material Advances
Article number: 0026

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Cite this article:
Hong Z. ChatGPT for Computational Materials Science: A Perspective. Energy Material Advances, 2023, 4: 0026. https://doi.org/10.34133/energymatadv.0026

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Received: 19 February 2023
Accepted: 13 March 2023
Published: 12 April 2023
© 2023 Zijian Hong Exclusive Licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License (CC BY 4.0)