A comparative analysis of text-to-image generative AI models in scientific contexts: a case study on nuclear power

A comparative analysis of text-to-image generative AI models in scientific contexts: a case study on nuclear power

Abstract In this work, we propose and assess the potential of generative artificial intelligence (AI) as a tool for facilitating public engagement around potential clean energy sources. Such an application could increase energy literacy—an awareness of low-carbon energy sources among the public ther...

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Bibliographic Details
Main Authors: Veda Joynt, Jacob Cooper, Naman Bhargava, Katie Vu, O. Hwang Kwon, Todd R. Allen, Aditi Verma, Majdi I. Radaideh
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Generative AI
Text-to-image generation
Nuclear power
Public policy
Prompt engineering
DALL-E
Online Access:https://doi.org/10.1038/s41598-024-79705-4
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https://doi.org/10.1038/s41598-024-79705-4

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