Autonomous platform for solution processing of electronic polymers
Abstract The manipulation of electronic polymers’ solid-state properties through processing is crucial in electronics and energy research. Yet, efficiently processing electronic polymer solutions into thin films with specific properties remains a formidable challenge. We introduce Polybot, an artifi...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55655-3 |
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| author | Chengshi Wang Yeon-Ju Kim Aikaterini Vriza Rohit Batra Arun Baskaran Naisong Shan Nan Li Pierre Darancet Logan Ward Yuzi Liu Maria K. Y. Chan Subramanian K.R.S. Sankaranarayanan H. Christopher Fry C. Suzanne Miller Henry Chan Jie Xu |
| author_facet | Chengshi Wang Yeon-Ju Kim Aikaterini Vriza Rohit Batra Arun Baskaran Naisong Shan Nan Li Pierre Darancet Logan Ward Yuzi Liu Maria K. Y. Chan Subramanian K.R.S. Sankaranarayanan H. Christopher Fry C. Suzanne Miller Henry Chan Jie Xu |
| author_sort | Chengshi Wang |
| collection | DOAJ |
| description | Abstract The manipulation of electronic polymers’ solid-state properties through processing is crucial in electronics and energy research. Yet, efficiently processing electronic polymer solutions into thin films with specific properties remains a formidable challenge. We introduce Polybot, an artificial intelligence (AI) driven automated material laboratory designed to autonomously explore processing pathways for achieving high-conductivity, low-defect electronic polymers films. Leveraging importance-guided Bayesian optimization, Polybot efficiently navigates a complex 7-dimensional processing space. In particular, the automated workflow and algorithms effectively explore the search space, mitigate biases, employ statistical methods to ensure data repeatability, and concurrently optimize multiple objectives with precision. The experimental campaign yields scale-up fabrication recipes, producing transparent conductive thin films with averaged conductivity exceeding 4500 S/cm. Feature importance analysis and morphological characterizations reveal key design factors. This work signifies a significant step towards transforming the manufacturing of electronic polymers, highlighting the potential of AI-driven automation in material science. |
| format | Article |
| id | doaj-art-6b36db094ca04776afa44936d598bf87 |
| institution | DOAJ |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-6b36db094ca04776afa44936d598bf872025-08-20T03:11:07ZengNature PortfolioNature Communications2041-17232025-02-0116111010.1038/s41467-024-55655-3Autonomous platform for solution processing of electronic polymersChengshi Wang0Yeon-Ju Kim1Aikaterini Vriza2Rohit Batra3Arun Baskaran4Naisong Shan5Nan Li6Pierre Darancet7Logan Ward8Yuzi Liu9Maria K. Y. Chan10Subramanian K.R.S. Sankaranarayanan11H. Christopher Fry12C. Suzanne Miller13Henry Chan14Jie Xu15Nanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryPritzker School of Molecular Engineering, The University of ChicagoPritzker School of Molecular Engineering, The University of ChicagoNanoscience and Technology Division, Argonne National LaboratoryData Science and Learning Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryNanoscience and Technology Division, Argonne National LaboratoryAbstract The manipulation of electronic polymers’ solid-state properties through processing is crucial in electronics and energy research. Yet, efficiently processing electronic polymer solutions into thin films with specific properties remains a formidable challenge. We introduce Polybot, an artificial intelligence (AI) driven automated material laboratory designed to autonomously explore processing pathways for achieving high-conductivity, low-defect electronic polymers films. Leveraging importance-guided Bayesian optimization, Polybot efficiently navigates a complex 7-dimensional processing space. In particular, the automated workflow and algorithms effectively explore the search space, mitigate biases, employ statistical methods to ensure data repeatability, and concurrently optimize multiple objectives with precision. The experimental campaign yields scale-up fabrication recipes, producing transparent conductive thin films with averaged conductivity exceeding 4500 S/cm. Feature importance analysis and morphological characterizations reveal key design factors. This work signifies a significant step towards transforming the manufacturing of electronic polymers, highlighting the potential of AI-driven automation in material science.https://doi.org/10.1038/s41467-024-55655-3 |
| spellingShingle | Chengshi Wang Yeon-Ju Kim Aikaterini Vriza Rohit Batra Arun Baskaran Naisong Shan Nan Li Pierre Darancet Logan Ward Yuzi Liu Maria K. Y. Chan Subramanian K.R.S. Sankaranarayanan H. Christopher Fry C. Suzanne Miller Henry Chan Jie Xu Autonomous platform for solution processing of electronic polymers Nature Communications |
| title | Autonomous platform for solution processing of electronic polymers |
| title_full | Autonomous platform for solution processing of electronic polymers |
| title_fullStr | Autonomous platform for solution processing of electronic polymers |
| title_full_unstemmed | Autonomous platform for solution processing of electronic polymers |
| title_short | Autonomous platform for solution processing of electronic polymers |
| title_sort | autonomous platform for solution processing of electronic polymers |
| url | https://doi.org/10.1038/s41467-024-55655-3 |
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