化学领域最具影响力的 20 项人工智能技术

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引用次数: 0

摘要

本报告分析了数字化学的起步与成熟,重点关注人工智能(AI)在化学科学领域预期飞跃中的作用,从而将这一领域带入下一个发展阶段。分析报告选择并强调了基于人工智能的 20 大技术和 7 大主题,这些技术和主题正在重塑化学领域。它强调了机器学习、大数据、数字双胞胎、物联网(IoT)、机器人平台、化学过程智能控制、虚拟现实和区块链等数字工具在加强化学研究方法、教育方法和工业实践方面的整合。本研究的意义在于,它重点概述了这些数字创新如何促进化学科学更高效、可持续和创新的未来。这篇文章不仅说明了这些技术的变革性影响,还为化学领域开辟了新的道路,广泛呼吁研究人员、教育工作者和行业专业人士拥抱这些进步,以应对该领域的当代挑战。
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Top 20 influential AI-based technologies in chemistry

The beginning and ripening of digital chemistry is analyzed focusing on the role of artificial intelligence (AI) in an expected leap in chemical sciences to bring this area to the next evolutionary level. The analytic description selects and highlights the top 20 AI-based technologies and 7 broader themes that are reshaping the field. It underscores the integration of digital tools such as machine learning, big data, digital twins, the Internet of Things (IoT), robotic platforms, smart control of chemical processes, virtual reality and blockchain, among many others, in enhancing research methods, educational approaches, and industrial practices in chemistry. The significance of this study lies in its focused overview of how these digital innovations foster a more efficient, sustainable, and innovative future in chemical sciences. This article not only illustrates the transformative impact of these technologies but also draws new pathways in chemistry, offering a broad appeal to researchers, educators, and industry professionals to embrace these advancements for addressing contemporary challenges in the field.

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来源期刊
Artificial intelligence chemistry
Artificial intelligence chemistry Chemistry (General)
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审稿时长
21 days
期刊最新文献
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