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RESEARCH PAPER · ACS Applied Materials & Interfaces · 2022

Machine Intelligence-Centered System for Automated Characterization of Functional Materials and Interfaces

Eric S. Muckley, Rama Krishnan Vasudevan, Bobby G. Sumpter, Rigoberto C. Advíncula, Ilia N. Ivanov

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Machine Intelligence-Centered System for Automated Characterization of Functional Materials and InterfacesOriginalSynthesis and assembly of two-dimensional heterostructured architectures4In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science99Machine-learning-empowered identification of initial growth modes for 2D transition metal dichalcogenide thin films7Progress and prospects of quantum emission from perovskites6A Versatile Flow Reactor Platform for Machine Learning Guided RAFT Synthesis, Amidation of Poly(Pentafluorophenyl Acrylate)18Polyimide composite fiber containing fluorine for respiratory monitoring and wearable electronics3A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Harnessing data and control with AI/ML-driven polymerization and copolymerization6Application of the Combined QCM-D/LSPR Aptasensor for Penicillin G Detection2Artificial intelligence/machine learning of polymer materials and discovery chemistry5AI meets high-entropy alloys: From classification and regression to explainable models and predictive discovery1Validation of large language model artificial intelligence-integrated optical microscopy analysis: application to in situ / operando electrochemistry0A Versatile Method for Creating Ultrathin Films of Polyzwitterions with Antifouling Properties1The Myelin Sheath as a Multilamellar Electromechanical System: Bilayer Stack Analogs, Energy Buffering, and Biological Memory0LLM‐Powered AI Agents in Materials Science: From Autonomous Design to Autonomous Experimentation0

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  1. Synthesis and assembly of two-dimensional heterostructured architectures

    MRS Communications · 2023-08-07

    Paraskevi Flouda, Jin-Young Choi, Madeline L. Buxton, Dhriti Nepal, Zhiqun Lin, Timothy J. Bunning, Vladimir V. Tsukruk

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  2. In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science

    Journal of the American Chemical Society · 2023-09-27

    Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch

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  3. Machine-learning-empowered identification of initial growth modes for 2D transition metal dichalcogenide thin films

    Applied Surface Science · 2024-06-18

    Minsu Chong, Tae Gyu Rhee, Yeong Gwang Khim, Min‐Hyoung Jung, Young‐Min Kim, Young-Min Kim, Hu Young Jeong, Heung‐Sik Kim, Heung-Sik Kim, Young Jun Chang, Hyuk Jin Kim, Hyuk Jin Kim

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  4. Progress and prospects of quantum emission from perovskites

    MRS Communications · 2024-06-26

    Arka Chatterjee, Sadie Brasel, Autumn Bruncz, Wenjing Wu, Shengxi Huang

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  5. A Versatile Flow Reactor Platform for Machine Learning Guided RAFT Synthesis, Amidation of Poly(Pentafluorophenyl Acrylate)

    Macromolecular Rapid Communications · 2025-04-08

    Alexander P. Grimm, Stephen T. Knox, Clarissa. Y. P. Wilding, H. Jones, Björn Schmidt, Olga Piskljonow, Dominik Voll, Christian W. Schmitt, Nicholas J. Warren, Patrick Théato

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  6. Polyimide composite fiber containing fluorine for respiratory monitoring and wearable electronics

    Polymer · 2025-05-01

    Wen Li, Jun Lin, Jun Lin, Wei Chu, Xuanning Zhang, Jun Fang, Qiangli Zhao, Jianwei Li

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  7. A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research

    Applied Sciences · 2025-05-07

    Lukas Nolte, Sven Tomforde

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  8. Harnessing data and control with AI/ML-driven polymerization and copolymerization

    Faraday Discussions · 2025-08-12

    Rigoberto C. Advíncula, Ilia N. Ivanov, Rama Krishnan Vasudevan, Rajeev Kumar, Panagiotis Christakopoulos, Marileta Tsakinika, Jihua Chen, Jan‐Michael Y. Carrillo, Qinyu Zhu, Bobby G. Sumpter

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  9. Application of the Combined QCM-D/LSPR Aptasensor for Penicillin G Detection

    Biosensors · 2025-10-01

    Sandro Spagnolo, Kiran Sontakke, Lukas Dubbert, Matthias Urban, Tomáš Lednický, Andrea Csáki, Katrin Wondraczek, Wolfgang Fritzsche, Tibor Hianik

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  10. Artificial intelligence/machine learning of polymer materials and discovery chemistry

    MRS Bulletin · 2025-11-01

    Jihua Chen, Panagiotis Christakopoulos, Ilia N. Ivanov, Rama Krishnan Vasudevan, Rajeev Kumar, Bobby G. Sumpter, Rigoberto C. Advíncula

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  11. AI meets high-entropy alloys: From classification and regression to explainable models and predictive discovery

    Elsevier eBooks · 2026-01-01

    Stéphane Gorsse, Wen‐Jay Lee

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  12. Validation of large language model artificial intelligence-integrated optical microscopy analysis: application to in situ / operando electrochemistry

    Journal of Materials Chemistry A · 2026-01-01

    Dogyeong Kim, Da Hyeon Seok, Seung-Ho Yu, Jun Hyuk Moon, Jialu Wang, Jai Hyun Koh, Chansol Kim, Jae-Young Choi, Hyung‐Suk Oh, Woong Hee Lee

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  13. A Versatile Method for Creating Ultrathin Films of Polyzwitterions with Antifouling Properties

    ACS Applied Materials & Interfaces · 2026-03-30

    Charini P. Maladeniya, Spenser R. Brown, Rubén Millán‐Solsona, Marea J. Blake, Jong Kahk Keum, Harry M. Meyer, Jennifer L. Morrell‐Falvey, Martí Checa, Benjamin Doughty, Ilia N. Ivanov, Liam F. Collins, Rajeev Kumar, Scott T. Retterer, Rigoberto C. Advíncula, Panagiotis Christakopoulos

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  14. The Myelin Sheath as a Multilamellar Electromechanical System: Bilayer Stack Analogs, Energy Buffering, and Biological Memory

    Membranes · 2026-08-28

    Dima Bolmatov, Zack Woodel, Igor M. Gussev, Miguel Turrero Garcίa, Erik B. Watkins, Yong Q. Cai, Ilia N. Ivanov

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  15. LLM‐Powered AI Agents in Materials Science: From Autonomous Design to Autonomous Experimentation

    Advanced Functional Materials · 2026-09-10

    Tongbo Jiang, Zhengyang Zhang, Mingshuo Nie, Dexin Zhu, Erli Meng, Hong‐Hui Wu, Xinping Mao

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