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RESEARCH PAPER · Computers & Chemical Engineering · 2025

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

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14 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspectiveOriginalClosed-loop agentic AI in drug discovery1Toward self-driving laboratory 2.0 for chemistry and materials discovery15Accelerated Emergence of Self-Driving Laboratories for Accelerating Materials Discovery1Artificial Intelligence as a Disruptive Force in Pharmaceutical Innovation: Transforming Discovery, Development, and Manufacturing8Automated Photothermal Control of Block Copolymer Self‑Assembly and Metal Oxide Nanostructures Sintering0The AI–PI nexus: Leveraging artificial intelligence for industrial process intensification–Applications, challenges, and future potential2Intelligent process systems engineering (iPSE) in the era of artificial intelligence and process electrification0283Chapter 15 Deep Learning and Artificial Intelligence in Biotechnology: A Comprehensive Analysis of Current Applications and Future Perspectives0Foundation Model-Guided Optimization of Chemical Reaction Spaces for Autonomous Experimentation0Predicting the dynamic behavior of memristive devices using recurrent neural networks0Scale-aware self-driving laboratories for multiscale process development0The past, present and future of self-driving laboratories5Self-driving laboratories for sustainable materials discovery: Autonomous experimentation and AI-driven optimization0AI-driven modeling of modulated magnetoelectric magnetic field sensors0

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14 direct citing papers saved.

  1. Closed-loop agentic AI in drug discovery

    RSC Medicinal Chemistry · 2026-01-01

    Pranal Chhetri

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  2. Toward self-driving laboratory 2.0 for chemistry and materials discovery

    Materials Horizons · 2026-01-01

    Heeseung Lee, Hyuk Jun Yoo, Hye Su Jang, Byeongho Park, Yang Jeong Park, Sang Soo Han

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  3. Accelerated Emergence of Self-Driving Laboratories for Accelerating Materials Discovery

    ACS Central Science · 2026-02-18

    Amanda K. Brown, Abhishek Soni, Daniel Lin, Curtis P. Berlinguette

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  4. Artificial Intelligence as a Disruptive Force in Pharmaceutical Innovation: Transforming Discovery, Development, and Manufacturing

    Drug Design Development and Therapy · 2026-03-01

    Yedi Herdiana, Ahmed Mohammed, Angga Prawira Kautsar, Iyan Sopyan, Nasrul Wathoni

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  5. Automated Photothermal Control of Block Copolymer Self‑Assembly and Metal Oxide Nanostructures Sintering

    Macromolecular Rapid Communications · 2026-03-20

    Filip Powala, Piotr Szustakiewicz, Przemysław Puła, Paweł W. Majewski

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  6. The AI–PI nexus: Leveraging artificial intelligence for industrial process intensification–Applications, challenges, and future potential

    Chemical Engineering and Processing - Process Intensification · 2026-04-27

    Juan Gabriel Segovia‐Hernández, Maricruz Juárez-García, Jesús Manuel Núñez-López, Enrique Cossio-Vargas, Eduardo Sánchez‐Ramírez

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  7. Intelligent process systems engineering (iPSE) in the era of artificial intelligence and process electrification

    Green Energy & Environment · 2026-06-01

    Meng Qi, Xiaonan Wang

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  8. 283Chapter 15 Deep Learning and Artificial Intelligence in Biotechnology: A Comprehensive Analysis of Current Applications and Future Perspectives

    De Gruyter eBooks · 2026-06-14

    Shallu Saini, Manuj Saini, Hardeep Singh Tuli, Jatin Saini, Shreya Nagpal, Priti Duhan, Poonam Bansal

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  9. Foundation Model-Guided Optimization of Chemical Reaction Spaces for Autonomous Experimentation

    Systems and Control Transactions · 2026-06-19

    Youhyun Kim, Jonggeol Na

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  10. Predicting the dynamic behavior of memristive devices using recurrent neural networks

    APL Machine Learning · 2026-07-17

    Somayeh Ghavipanjeh Rezaei, Benjamin Spetzler, Patrick Mäder

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  11. Scale-aware self-driving laboratories for multiscale process development

    Nature Synthesis · 2026-07-29

    Zhihao Wang, Xiaonan Wang

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  12. The past, present and future of self-driving laboratories

    Nature Reviews Chemistry · 2026-07-30

    Richard B. Canty, Milad Abolhasani

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  13. Self-driving laboratories for sustainable materials discovery: Autonomous experimentation and AI-driven optimization

    Next Materials · 2026-08-17

    Ramaraj Rajesh Kumar, Dr.P. Eben Sophia, Israel V.M.V. Enoch

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  14. AI-driven modeling of modulated magnetoelectric magnetic field sensors

    APL Machine Learning · 2026-10-05

    Ari Abdulwahed Ahmad, Elizaveta Spetzler, Patrick Wiegand, Martin Ziegler, Robert Rieger, Jeffrey McCord, Benjamin Spetzler

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