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Papers citing Self-Driving Laboratory for Polymer Electronics

  1. Leveraging Artificial Intelligence for Accelerated Polymer Synthesis and Design

    INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025

    Shilpa Sharma

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  2. VISION: a modular AI assistant for natural human-instrument interaction at scientific user facilities

    Machine Learning Science and Technology · 2025

    Shray Mathur, Noah van der Vleuten, Kevin G. Yager, Esther H. R. Tsai

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  3. Machine-Learning-Assisted Molecular Design of Innovative Polymers

    Accounts of Materials Research · 2025

    Tianle Yue, Jianxin He, Ying Li

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  4. A review on electrolyte innovation enabled by machine learning for energy storage applications

    Materials Today Physics · 2025

    Nishant Shukla, Manashi Saikia, Madhuryya Deka

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  5. Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective

    Computers & Chemical Engineering · 2025

    You-Hyun Kim, Hayoung Doo, Daeun Shin, Seo Yoon Lee, Seo Yoon Lee, Yugyeong Roh, Seong‐Eun Park, Heejin Song, Yujin Jung, Hyuk Jun Yoo, Sang Soo Han, Jong Woo Kim, Maximilian O. Besenhard, Ye Seol Lee, Jonggeol Na

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  6. Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

    Macromolecular Rapid Communications · 2025

    Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Kathryn Brettmann

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  7. Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: Solvation free energy as a case study

    APL Machine Learning · 2025

    Jeffrey G. Ethier, Andrew S. Paluch, Vikas Varshney

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  8. Automation-Assisted Photoinduced Atom Transfer Radical Polymerization

    ACS Polymers Au · 2025

    Cesar Ramirez, Eman Ahmed, Elena Di Mare, Maria Pineiro-Goncalves, Apostolos J. Maroulis, Prajakatta Mulay, D. Christopher Radford, Adam J. Gormley

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  9. Path to Machine Learning-Driven Autonomous Systems for Solid-State Electrolyte Batteries: Design, Fabrication, and Lifetime Prediction

    ACS Applied Energy Materials · 2025

    Sung Eun Jerng

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  10. Exocortex Network for AI-Augmented Human-Led Scientific Expedition

    Photon Science · 2025

    Esther H. R. Tsai, Kevin G. Yager

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  11. High-Throughput Robotic GIWAXS at ALS SAXS/WAXS Beamline

    Photon Science · 2025

    Eric G. Schaible, Ivan Galikeev, Matthew Roizin-Prior, Garrett W. Birkel, Yunfei Wang, Wiebke Koepp, Raja Vyshnavi Sriramoju, Harold S. Barnard, Chinweike Osubor, Camille Molsick-Gibson, Piotr Gach, Sujoy Roy, Xiaodan Gu, Dylan McReynolds, Alexander Hexemer, Lucas Kistulentz, Damon English, Dilworth Y. Parkinson, Chenhui Zhu

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  12. Autonomous Synthesis and Inverse Design of Electrochromic Polymers with High Efficiency and Accuracy

    Journal of the American Chemical Society · 2025

    Yukun Wu, Aikaterini Vriza, Doga Ozgulbas, Rafael Vescovi, Jianing Zhou, Zhiyang Wang, Shiyu Hu, Yuepeng Zhang, Qiaomu Yang, Anna M. Österholm, John R. Reynolds, Subramanian K. R. S. Sankaranarayanan, Maria K. Y. Chan, Ian T Foster, Jianguo Mei, Henry Chan, Jie Xu

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  13. BRINE: a cost-effective electrochemical self-driving laboratory for accelerated discovery of high-performance electrolytes

    Digital Discovery · 2025

    Mohamadreza Ramezani, Poulomi Nandi, Pablo De La Fuente-Moreno, Majid Beidaghi

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  14. Adaptive AI decision interface for autonomous electronic material discovery

    Nature Chemical Engineering · 2025

    Yahao Dai, Henry Chan, Aikaterini Vriza, Jing‐Yuan Fan, Fredrick Kim, Yunfei Wang, Wei Liu, Naisong Shan, Zoe Xu, Jing Xu, Max Weires, Yukun Wu, Zhiqiang Cao, C. S. Miller, Ralu Nana Silvia Divan, Xiaodan Gu, Chenhui Zhu, Sihong Wang, Jie Xu, Jie Xu

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  15. Electronic polymer discovery through adaptive AI-guided autonomous experimentation

    Nature Chemical Engineering · 2025

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  16. Pareto-Optimal Experimentation: Human-Guided Multi-Objective Bayesian Optimization in Scanning Probe Microscopy

    Nano Letters · 2025

    Yu Liu, Sergei V. Kalinin

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  17. Autonomous Nanoparticle Synthesis Guided by In Situ Multiscale Structural Characterization

    Journal of the American Chemical Society · 2025

    Hyeong Jin Kim, Matthew R. Carbone, Fang Lu, Xiaohui Qu, Kristofer Reyes, Honghu Zhang, Lihua Zhang, Oleg Gang, Yugang Zhang

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  18. MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation

    Nature Computational Science · 2025

    Kourosh Darvish, Arjun Sohal, Abhijoy Mandal, Hatem Fakhruldeen, Nikola Radulov, Zhengxue Zhou, Satheeshkumar Veeramani, Joshua Choi, Sijie Han, Brayden Zhang, Jeeyeoun Chae, Alex Wright, Yijie Wang, Hossein Darvish, Yuchi Zhao, Gary Tom, Han Hao, Miroslav Bogdanović, Gabriella Pizzuto, A. Cooper, Alán Aspuru‐Guzik, Florian Shkurti, Animesh Garg

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  19. AI-Driven Design of Multifunctional Polyimides: Revolutionizing the Paradigm from Data to Synthesis

    Acta Physico-Chimica Sinica · 2026

    Zepeng Zhang, Qikun Wu, Xinlong Wang, Yansong Liao, Yuzhou Lin, Ziqin Li, Shaoping Wu, Quancong Zhang, Zongyuan Xiao, Mingbin Gao, Wenqiu Su, Wenjing Hong

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  20. Towards an artificial intelligence ecosystem for performance-driven polymer design

    Polymer Chemistry · 2026

    Jie Zhu, Dong Wu, Zhao‐Yan Sun, H. C. Li, Xiayun Huang, Zhihong Nie

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  21. Synergizing Chemical and AI Communities for Advancing Laboratories of the Future

    ACS Central Science · 2026

    Saejin Oh, Xinyi Fang, I-Hsin Lin, Paris Dee, Christopher S. Dunham, Stacy M. Copp, Abigail G. Doyle, Javier Read de Alaniz, Mengyang Gu

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  22. A Purpose-Built Open Source Liquid Handler for Industry-Class Automated Experiments

    bioRxiv (Cold Spring Harbor Laboratory) · 2026

    Stefan M. Golas, Bryant Gill, Kyle Wardlow, Aidan Baydush, Johannes Linzbach, Emma J. Chory

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  23. MADSci: A modular Python-based framework to enable autonomous science

    The Journal of Open Source Software · 2026

    Ryan Lewis, Tobias S. Ginsburg, Doga Ozgulbas, Casey Stone, Abraham Stroka, Aileen Cleary, Ian T. Foster, Noah H. Paulson

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  24. Synergistic Evolution of Segmental Motion and Cooperative Relaxation within the Amorphous Phase of Organic Mixed Ionic-Electronic Conductors

    ACS Nano · 2026

    Shaochuan Luo, Yichen Ding, Wenlei Yin, Jingyuan Fan, Jiayu Lu, Yukun Li, Qi Chen, Labao Zhang, Chenhan Liu, Xiaoliang Wang, Gi Xue, Dongshan Zhou, Jie Xu

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  25. AUTONOMOUS POLYMER MATERIALS DISCOVERY: ARTIFICIAL INTELLIGENCE ARCHITECTURES FOR GENERATIVE DESIGN AND CLOSED-LOOP ENGINEERING

    European Journal of Materials Science and Engineering · 2026

    Victor Ugbetan Agbogo, Moipone Linda Lethabane, MAVHUNGU Lucey Mapula, Emmanuel Rotimi Sadiku, INJOR Oryina Mbaadega

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  26. Automated Identification of Thermal Transitions in Conjugated Material Thin Films Using In Situ Optical Spectroscopy

    Small Methods · 2026

    Doan Vu, Martyn Jevric, Alireza Samadani, Mats R. Andersson, Christopher Robert McNeill, Brendan T. O’Connor, Harald W. Ade

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  27. Overcoming Roadblocks for Implementing AI/ML Methods for Materials Advancement

    Annual Review of Materials Research · 2026

    James A. Warren, Francesca Tavazza, Austin McDannald, Aaron Gilad Kusne, Howie Joress, David P. Hoogerheide, Brian DeCost, Kamal Kumar Choudhary, Debra J. Audus

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  28. AI-driven innovation for organics in energy storage materials: Recent advances and near-term research opportunities

    MRS Energy & Sustainability · 2026

    Hassan Harb, Sungil Hong, Shi Li, Sapna L. Ramesh, Tanjin He, Hieu Anh Doan, Rajeev S. Assary

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  29. Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

    InfoScience. · 2026

    Md Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A K A Chowdhury

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  30. Microstructure inference of organic thin films via light modulated photocurrent characterization

    Organic Electronics · 2026

    Nirmal Baishnab, Olga Wodo, Baskar Ganapathysubramanian

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  31. Materials by machines: A review on intuition and knowledge-driven learning for rapid discovery and optimization

    Materials Research Bulletin · 2026

    Mohannad Zeyad Naser, Prasada Rao Rangaraju

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  32. Additive manufacturing enabled autonomous laboratory for materials discovery and concurrent design of materials and shape

    MRS Bulletin · 2026

    Peter C. Collins, Thomas K. Ales

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  33. Adaptive human-in-the-loop optimization using language-guided priors for chemical experiments

    Journal of Chemical Information and Modeling · 2026

    Amirreza Mottafegh, Gwang‐Noh Ahn

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  34. Predicting Copolymerization Reactivity Ratios: Do We Need Better Models or Better Data?

    Macromolecules · 2026

    Caroline M. Coxwell, Dylan M. Anstine, Olexandr Isayev, Frank A. Leibfarth

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  35. Cross-Scale Mixed Conduction in Organic Electrochemical Transistors: From Nanoscale Ion–Electron Coupling to Biointegrated Intelligence

    ACS Nano · 2026

    Zhenyuan Mei, Yaowu He, Hong Fu Meng

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  36. An Autonomous Robotized Cell for Polymer Foaming

    ACS Omega · 2026

    Valerio Loianno, Riccardo Caccavale, Massimiliano M. Villone, Alberto Finzi, Ernesto Di Maio

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