John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA.
Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, P.R. China.
Nanoscale. 2021 Dec 2;13(46):19352-19366. doi: 10.1039/d1nr06195j.
Artificial intelligence (AI) is an emerging technology with great potential, and its robust calculation and analysis capabilities are unmatched by traditional calculation tools. With the promotion of deep learning and open-source platforms, the threshold of AI has also become lower. Combining artificial intelligence with traditional fields to create new fields of high research and application value has become a trend. AI has been involved in many disciplines, such as medicine, materials, energy, and economics. The development of AI requires the support of many kinds of data, and microfluidic systems can often mine object data on a large scale to support AI. Due to the excellent synergy between the two technologies, excellent research results have emerged in many fields. In this review, we briefly review AI and microfluidics and introduce some applications of their combination, mainly in nanomedicine and material synthesis. Finally, we discuss the development trend of the combination of the two technologies.
人工智能（AI）是一项具有巨大潜力的新兴技术，其强大的计算和分析能力是传统计算工具无法比拟的。随着深度学习和开源平台的推动，人工智能的门槛也变得更低。将人工智能与传统领域相结合，创造具有高研究和应用价值的新领域已成为一种趋势。人工智能已经涉及到许多学科，如医学、材料、能源和经济学。人工智能的发展需要多种数据的支持，而微流控系统通常可以大规模挖掘对象数据，为人工智能提供支持。由于这两种技术的出色协同作用，在许多领域已经出现了出色的研究成果。在这篇综述中，我们简要回顾了 AI 和微流控技术，并介绍了它们结合的一些应用，主要集中在纳米医学和材料合成方面。最后，我们讨论了这两种技术结合的发展趋势。
