AI for Nanomaterials Development in Clean Energy and Carbon Capture, Utilization and Storage (CCUS)

被引:37
作者
Chen, Honghao [1 ]
Zheng, Yingzhe [2 ]
Li, Jiali [2 ]
Li, Lanyu [1 ]
Wang, Xiaonan [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China
[2] Natl Univ Singapore, Dept Chem & Biomol Engn, Singapore 117585, Singapore
基金
国家重点研发计划;
关键词
artificial intelligence; machine learning; nanomaterials; nanocatalysts; renewable energy; battery material; carbon capture; carbon utilization; sustainable development; METAL-ORGANIC FRAMEWORKS; MACHINE LEARNING-MODELS; PEROVSKITE SOLAR-CELLS; LITHIUM-ION BATTERY; HYDROGEN-PRODUCTION; RENEWABLE ENERGY; 2-DIMENSIONAL MATERIALS; NEURAL-NETWORKS; CO2; CAPTURE; LIFE-CYCLE;
D O I
10.1021/acsnano.3c01062
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Zero-carbon energy and negative emission technologiesare crucialfor achieving a carbon neutral future, and nanomaterials have playedcritical roles in advancing such technologies. More recently, dueto the explosive growth in data, the adoption and exploitation ofartificial intelligence (AI) as part of the materials research frameworkhave had a tremendous impact on the development of nanomaterials.AI has enabled revolutionary next-generation paradigms to significantlyaccelerate all stages of material discovery and facilitate the explorationof the enormous design space. In this review, we summarize recentadvancements of AI applications in nanomaterials discovery, with aspecial emphasis on the selected applications of AI and nanotechnologyfor the net-zero emission future including the development of solarcells, hydrogen energy, battery materials for renewable energy, andCO(2) capture and conversion materials for carbon capture,utilization and storage (CCUS) technologies. In addition, we discussthe limitations and challenges of current AI applications in thisarea by identifying the gaps that exist in current development. Finally,we present the prospect for future research directions in order tofacilitate the large-scale applications of artificial intelligencefor advancements in nanomaterials.
引用
收藏
页码:9763 / 9792
页数:30
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