关键字：LIGAND-EXCHANGE; ALLOY NANOCLUSTERS; GOLD NANOPARTICLES; AU-25 NANOCLUSTERS; CLUSTERS; AG; REDUCTION; TEMPLATES; GROWTH
摘要：Understanding the complete structure of noble metal nanoclusters is both academically and practically significant. However, progress has been hindered by the low synthetic efficiency of many nanocluster syntheses. In this study, we present the first high-throughput syntheses of homo-gold, homo-copper, and gold-copper alloy nanoclusters in dichloromethane at room temperature. Through high-throughput screening, we successfully obtained three nanoclusters in a single reaction: Au18(SC6H11)14, [Au41Cu66(SC6H11)44](SbF6)3, and an unidentified copper cluster (referred to as Au18, Au41Cu66, and Cu-NC). The optimized synthesis route was achieved with the assistance of machine learning for experimental data analysis, which also guided the synthesis of other metal nanoclusters such as Au40Cu34(4-S-PhF)40 (Au40Cu34), [Au6Cu6(SPh)12]n ([Au6Cu6]n), and Au18Cu32(3,5-C8H9S)36 (Au18Cu32)). This research demonstrates that high-throughput screening can be a valuable tool in accelerating the development of nanocluster syntheses. In this study, we propose a high-throughput metal nanocluster synthesis method assisted by machine learning, which can accelerate the discovery of nanoclusters, improve the synthesis efficiency, and successfully form a series of nanoclusters (i. e., Au41Cu66, Au40Cu34, Au18Cu32, Au18, Au6Cu6, Cu-NC nanoclusters). This study further reinforces the importance of high-throughput screening in advancing the field of nanocluster research. image
卷号：30
期号：53
是否译文：否