Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties
Abstract Many applications of plasmonic nanoparticles require precise control of their optical properties that are governed by nanoparticle dimensions, shape, morphology and composition. Finding reaction conditions for the synthesis of nanoparticles with targeted characteristics is a time-consuming...
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Nature Portfolio
2025-02-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-025-56788-9 |
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author | Tianyi Wu Sina Kheiri Riley J. Hickman Huachen Tao Tony C. Wu Zhi-Bo Yang Xin Ge Wei Zhang Milad Abolhasani Kun Liu Alan Aspuru-Guzik Eugenia Kumacheva |
author_facet | Tianyi Wu Sina Kheiri Riley J. Hickman Huachen Tao Tony C. Wu Zhi-Bo Yang Xin Ge Wei Zhang Milad Abolhasani Kun Liu Alan Aspuru-Guzik Eugenia Kumacheva |
author_sort | Tianyi Wu |
collection | DOAJ |
description | Abstract Many applications of plasmonic nanoparticles require precise control of their optical properties that are governed by nanoparticle dimensions, shape, morphology and composition. Finding reaction conditions for the synthesis of nanoparticles with targeted characteristics is a time-consuming and resource-intensive trial-and-error process, however closed-loop nanoparticle synthesis enables the accelerated exploration of large chemical spaces without human intervention. Here, we introduce the Autonomous Fluidic Identification and Optimization Nanochemistry (AFION) self-driving lab that integrates a microfluidic reactor, in-flow spectroscopic nanoparticle characterization, and machine learning for the exploration and optimization of the multidimensional chemical space for the photochemical synthesis of plasmonic nanoparticles. By targeting spectroscopic nanoparticle properties, the AFION lab identifies reaction conditions for the synthesis of different types of nanoparticles with designated shapes, morphologies, and compositions. Data analysis provides insight into the role of reaction conditions for the synthesis of the targeted nanoparticle type. This work shows that the AFION lab is an effective exploration platform for on-demand synthesis of plasmonic nanoparticles. |
format | Article |
id | doaj-art-c1e2332e427b4964928426b10a734726 |
institution | Kabale University |
issn | 2041-1723 |
language | English |
publishDate | 2025-02-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj-art-c1e2332e427b4964928426b10a7347262025-02-09T12:44:45ZengNature PortfolioNature Communications2041-17232025-02-0116111410.1038/s41467-025-56788-9Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical propertiesTianyi Wu0Sina Kheiri1Riley J. Hickman2Huachen Tao3Tony C. Wu4Zhi-Bo Yang5Xin Ge6Wei Zhang7Milad Abolhasani8Kun Liu9Alan Aspuru-Guzik10Eugenia Kumacheva11Department of Chemistry, University of TorontoDepartment of Mechanical and Industrial Engineering, University of TorontoDepartment of Chemistry, University of TorontoDepartment of Chemistry, University of TorontoDepartment of Chemistry, University of TorontoState Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin UniversitySchool of Materials Science & Engineering, Electron Microscopy CenterSchool of Materials Science & Engineering, Electron Microscopy CenterDepartment of Chemical and Biomolecular Engineering, North Carolina State UniversityState Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin UniversityDepartment of Chemistry, University of TorontoDepartment of Chemistry, University of TorontoAbstract Many applications of plasmonic nanoparticles require precise control of their optical properties that are governed by nanoparticle dimensions, shape, morphology and composition. Finding reaction conditions for the synthesis of nanoparticles with targeted characteristics is a time-consuming and resource-intensive trial-and-error process, however closed-loop nanoparticle synthesis enables the accelerated exploration of large chemical spaces without human intervention. Here, we introduce the Autonomous Fluidic Identification and Optimization Nanochemistry (AFION) self-driving lab that integrates a microfluidic reactor, in-flow spectroscopic nanoparticle characterization, and machine learning for the exploration and optimization of the multidimensional chemical space for the photochemical synthesis of plasmonic nanoparticles. By targeting spectroscopic nanoparticle properties, the AFION lab identifies reaction conditions for the synthesis of different types of nanoparticles with designated shapes, morphologies, and compositions. Data analysis provides insight into the role of reaction conditions for the synthesis of the targeted nanoparticle type. This work shows that the AFION lab is an effective exploration platform for on-demand synthesis of plasmonic nanoparticles.https://doi.org/10.1038/s41467-025-56788-9 |
spellingShingle | Tianyi Wu Sina Kheiri Riley J. Hickman Huachen Tao Tony C. Wu Zhi-Bo Yang Xin Ge Wei Zhang Milad Abolhasani Kun Liu Alan Aspuru-Guzik Eugenia Kumacheva Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties Nature Communications |
title | Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties |
title_full | Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties |
title_fullStr | Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties |
title_full_unstemmed | Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties |
title_short | Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties |
title_sort | self driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties |
url | https://doi.org/10.1038/s41467-025-56788-9 |
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