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Machine Learning Accelerated Exploration of Ternary Organic Heterojunction Photocatalysts for Sacrificial Hydrogen Evolution
journal contributionposted on 2023-12-02, 03:43 authored by Haofan Yang, Yu Che, Andrew I. Cooper, Linjiang Chen, Xiaobo Li
Donor–acceptor heterojunctions in organic photocatalysts can provide enhanced exciton dissociation and charge separation, thereby improving the photocatalytic activity. However, the wide choice of possible donors and acceptors poses a challenge for the rational design of organic heterojunction photocatalysts, particularly for large ternary phase spaces. We accelerated the exploration of ternary organic heterojunction photocatalysts (TOHP) by using a combination of machine learning and high-throughput experimental screening. This involved 736 experiments in all, out of possible 4320 ternary combinations. The top ten most active TOHPs discovered using this strategy showed outstanding sacrificial hydrogen production rates of more than 500 mmol g–1 h–1, with the most active ternary material reaching a rate of 749.8 mmol g–1 h–1 under 1 sun illumination. These rates of photocatalytic hydrogen generation are among the highest reported for organic photocatalysts in the literature.
throughput experimental screeninginvolved 736 experiments8 mmol g500 mmol g1 sun illuminationphotocatalytic hydrogen generationorganic heterojunction photocatalystsorganic photocatalystsphotocatalytic activitywide choicetop tenthereby improvingrational designpossible donorsmachine learninghighest reportedcharge separationacceptors poses