在生物燃料技术中引入机器学习和人工智能

IF 9.3 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jude A. Okolie
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引用次数: 0

摘要

包括机器学习(ML)在内的人工智能(AI)在推动生物燃料技术发展方面发挥了主导作用,其应用范围包括产品产量预测、工艺条件优化以及生物质对生物燃料技术的经济和环境影响的初步评估。本综述概述了过去两年中对应用 ML 推动生物燃料技术进行评估的最新研究。这些研究分为三个不同的类别:筛选和发现新材料;优化工艺;决策。此外,还讨论了 ML/AI 在生物质转化为生物燃料技术的初步经济和环境评估中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction of machine learning and artificial intelligence in biofuel technology

Artificial intelligence (AI) including machine learning (ML) has played a leading role in advancing biofuel technology with applications ranging from product yield prediction, optimization of process conditions, and preliminary evaluation of economic and environmental impacts of biomass to biofuel technologies. This review presents an overview of recent study within the past two years that evaluates the applications of ML in advancing biofuels technology. These studies are grouped into three distinct categories: Screening and discovery of new materials; optimization of process; decision-making. Furthermore, the applications of ML/AI in preliminary economic and environmental assessment of biomass to biofuel technologies are discussed.

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来源期刊
CiteScore
16.00
自引率
2.20%
发文量
140
审稿时长
103 days
期刊介绍: The Current Opinion journals address the challenge specialists face in keeping up with the expanding information in their fields. In Current Opinion in Green and Sustainable Chemistry, experts present views on recent advances in a clear and readable form. The journal also provides evaluations of the most noteworthy papers, annotated by experts, from the extensive pool of original publications in Green and Sustainable Chemistry.
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