自动驾驶实验室的工程原理

Nature Chemical Engineering Pub Date : 2025-05-16 DOI:10.1038/s44286-025-00217-7

Fernando Delgado-Licona, Daniel Addington, Abdulrahman Alsaiari, Milad Abolhasani

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引用次数: 0

摘要

化学工程领域正处于转型的关键时刻，部分原因是过程自动化、机器人和人工智能向自动驾驶实验室（sdl）的融合，以加速科学发现。本评论探讨了过程强化原则如何指导sdl的发展，以加速创新，同时确保跨多尺度化学领域的资源有效利用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Engineering principles for self-driving laboratories

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Engineering principles for self-driving laboratories

The chemical engineering field stands at a pivotal moment of transformation, driven in part by the convergence of process automation, robotics and artificial intelligence into self-driving laboratories (SDLs) to accelerate scientific discoveries. This Comment explores how process intensification principles can guide the development of SDLs to accelerate innovation while ensuring efficient use of resources across the multiscale chemical domain.

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Nature Chemical Engineering

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