Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes
Lead-free metal halide perovskites can potentially be air- and water-stable photocatalysts for organic synthesis, but there have been limited studies on them for this application. Separately, machine learning (ML), a critical subfield of artificial intelligence, has played a pivotal role in identify...
Saved in:
Main Authors: | , , , , , , , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/177753 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-177753 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1777532024-05-31T15:31:41Z Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes Xiao, Yonghao Choudhuri, Khokan Thanetchaiyakup, Adisak Chan, Wei Xin Hu, Xinwen Sadek, Mansour Tam, Ying Hern Loh, Ryan Guanying Sharifah Nadhirah Binte Shaik Mohammed Lim, Kendric Jian Ying Ten, Ju Zheng Garcia, Felipe Chellappan, Vijila Choksi, Tej S. Lim, Yee‐Fun Soo, Han Sen School of Chemistry, Chemical Engineering and Biotechnology Chemistry Alkene oxidation Lead-free perovskites Lead-free metal halide perovskites can potentially be air- and water-stable photocatalysts for organic synthesis, but there have been limited studies on them for this application. Separately, machine learning (ML), a critical subfield of artificial intelligence, has played a pivotal role in identifying correlations and formulating predictions based on extensive datasets. Herein, we describe an iterative workflow by incorporating high-throughput experimental data with ML to discover new lead-free metal halide perovskite photocatalysts for the aerobic oxidation of styrene. Through six rounds of ML optimization guided by SHapley Additive exPlanations (SHAP) analysis, we identified BA2CsAg0.95Na0.05BiBr7 as a photocatalyst that afforded an 80% yield of benzoic acid under our standard conditions, which is a 13-fold improvement compared to the 6% that we started with when using Cs2AgBiBr6 as the initial photocatalyst benchmark. We demonstrated that BA2CsAg0.95Na0.05BiBr7 could tolerate various functional groups with 22 styrene derivatives, highlighting the generality of the photocatalytic properties. Radical scavenging studies and density functional theory calculations revealed that formation of the reactive oxygen species superoxide and singlet oxygen in the presence of BA2CsAg0.95Na0.05BiBr7 were critical for the photocatalysis. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) National Research Foundation (NRF) Published version S.S. and Y.F.L. acknowledge that this project was supported by A*STAR under the AME IRG grantno. A2083c0050 and IAF-PP grant no. A19E9a0103. H.S.S. is also grateful that this project was partly supported by the National Research Foundation (NRF) Singapore under the grant NRF-CRP27-2021-0001. This work was supported by the Ministry of Education (Singapore) under its AcRFTier 2 grant (MOE-T2EP10123-0007) and an AcRF Tier 1 grant RG 09/22.F.G. would like to thank the support of research grants obtained from Agencia Estatal de Investigación (MCIN/AEI/PID2021-127407NB-I00, and RED2022-134074-T) and Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología (FICYT) through the Margarita Salas Senior Program (AYUD/2021/59709). 2024-05-31T05:19:21Z 2024-05-31T05:19:21Z 2024 Journal Article Xiao, Y., Choudhuri, K., Thanetchaiyakup, A., Chan, W. X., Hu, X., Sadek, M., Tam, Y. H., Loh, R. G., Sharifah Nadhirah Binte Shaik Mohammed, Lim, K. J. Y., Ten, J. Z., Garcia, F., Chellappan, V., Choksi, T. S., Lim, Y. & Soo, H. S. (2024). Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes. Advanced Science. https://dx.doi.org/10.1002/advs.202309714 2198-3844 https://hdl.handle.net/10356/177753 10.1002/advs.202309714 en A2083c0050 A19E9a0103 NRF-CRP27-2021-0001 MOE-T2EP10123-0007 RG 09/22 Advanced Science © 2024 The Authors. Advanced Science published by Wiley-VCH GmbH.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction inany medium, provided the original work is properly cited. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Chemistry Alkene oxidation Lead-free perovskites |
spellingShingle |
Chemistry Alkene oxidation Lead-free perovskites Xiao, Yonghao Choudhuri, Khokan Thanetchaiyakup, Adisak Chan, Wei Xin Hu, Xinwen Sadek, Mansour Tam, Ying Hern Loh, Ryan Guanying Sharifah Nadhirah Binte Shaik Mohammed Lim, Kendric Jian Ying Ten, Ju Zheng Garcia, Felipe Chellappan, Vijila Choksi, Tej S. Lim, Yee‐Fun Soo, Han Sen Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes |
description |
Lead-free metal halide perovskites can potentially be air- and water-stable photocatalysts for organic synthesis, but there have been limited studies on them for this application. Separately, machine learning (ML), a critical subfield of artificial intelligence, has played a pivotal role in identifying correlations and formulating predictions based on extensive datasets. Herein, we describe an iterative workflow by incorporating high-throughput experimental data with ML to discover new lead-free metal halide perovskite photocatalysts for the aerobic oxidation of styrene. Through six rounds of ML optimization guided by SHapley Additive exPlanations (SHAP) analysis, we identified BA2CsAg0.95Na0.05BiBr7 as a photocatalyst that afforded an 80% yield of benzoic acid under our standard conditions, which is a 13-fold improvement compared to the 6% that we started with when using Cs2AgBiBr6 as the initial photocatalyst benchmark. We demonstrated that BA2CsAg0.95Na0.05BiBr7 could tolerate various functional groups with 22 styrene derivatives, highlighting the generality of the photocatalytic properties. Radical scavenging studies and density functional theory calculations revealed that formation of the reactive oxygen species superoxide and singlet oxygen in the presence of BA2CsAg0.95Na0.05BiBr7 were critical for the photocatalysis. |
author2 |
School of Chemistry, Chemical Engineering and Biotechnology |
author_facet |
School of Chemistry, Chemical Engineering and Biotechnology Xiao, Yonghao Choudhuri, Khokan Thanetchaiyakup, Adisak Chan, Wei Xin Hu, Xinwen Sadek, Mansour Tam, Ying Hern Loh, Ryan Guanying Sharifah Nadhirah Binte Shaik Mohammed Lim, Kendric Jian Ying Ten, Ju Zheng Garcia, Felipe Chellappan, Vijila Choksi, Tej S. Lim, Yee‐Fun Soo, Han Sen |
format |
Article |
author |
Xiao, Yonghao Choudhuri, Khokan Thanetchaiyakup, Adisak Chan, Wei Xin Hu, Xinwen Sadek, Mansour Tam, Ying Hern Loh, Ryan Guanying Sharifah Nadhirah Binte Shaik Mohammed Lim, Kendric Jian Ying Ten, Ju Zheng Garcia, Felipe Chellappan, Vijila Choksi, Tej S. Lim, Yee‐Fun Soo, Han Sen |
author_sort |
Xiao, Yonghao |
title |
Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes |
title_short |
Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes |
title_full |
Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes |
title_fullStr |
Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes |
title_full_unstemmed |
Machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes |
title_sort |
machine-learning-assisted discovery of mechanosynthesized lead-free metal halide perovskites for the oxidative photocatalytic cleavage of alkenes |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/177753 |
_version_ |
1800916131115958272 |