Department of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Department of Chemical and Biomolecular Engineering, National University of Singapore, 117585, Singapore.
ACS Nano. 2023 Jun 13;17(11):9763-9792. doi: 10.1021/acsnano.3c01062. Epub 2023 Jun 2.
Zero-carbon energy and negative emission technologies are crucial for achieving a carbon neutral future, and nanomaterials have played critical roles in advancing such technologies. More recently, due to the explosive growth in data, the adoption and exploitation of artificial intelligence (AI) as part of the materials research framework have had a tremendous impact on the development of nanomaterials. AI has enabled revolutionary next-generation paradigms to significantly accelerate all stages of material discovery and facilitate the exploration of the enormous design space. In this review, we summarize recent advancements of AI applications in nanomaterials discovery, with a special emphasis on the selected applications of AI and nanotechnology for the net-zero emission future including the development of solar cells, hydrogen energy, battery materials for renewable energy, and CO capture and conversion materials for carbon capture, utilization and storage (CCUS) technologies. In addition, we discuss the limitations and challenges of current AI applications in this area by identifying the gaps that exist in current development. Finally, we present the prospect for future research directions in order to facilitate the large-scale applications of artificial intelligence for advancements in nanomaterials.
实现碳中和未来，零碳能源和负排放技术至关重要，而纳米材料在推动这些技术方面发挥了关键作用。最近，由于数据的爆炸式增长，人工智能 (AI) 的采用和开发已成为材料研究框架的一部分，对纳米材料的发展产生了巨大影响。人工智能使下一代革命性范式得以实现，从而大大加速了材料发现的所有阶段，并促进了对巨大设计空间的探索。在这篇综述中，我们总结了人工智能在纳米材料发现中的应用的最新进展，特别强调了 AI 和纳米技术在净零排放未来中的一些应用，包括太阳能电池、氢能、可再生能源电池材料以及 CO 捕获和转化材料的开发，用于碳捕获、利用和存储 (CCUS) 技术。此外，我们还通过确定当前发展中存在的差距，讨论了该领域当前人工智能应用的局限性和挑战。最后，我们提出了未来研究方向的展望，以便为人工智能在纳米材料领域的广泛应用提供便利。
