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RESEARCH PAPER · Digital Discovery · 2024

Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept

Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Nessa Carson, Ian T Foster, Andrés Aguilar‐Granda, Sergei V. Kalinin, Benji Maruyama, Maria Politi, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik

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Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” conceptOriginalAutonomous laboratories for accelerated materials discovery: a community survey and practical insights33Pellet dispensomixer and pellet distributor: open hardware for nanocomposite space exploration via automated material compounding2Autonomous chemistry: Navigating self-driving labs in chemical and material sciences95Toward soft robotic inspection for aircraft: An overview and perspective6Self-Driving Laboratories for Chemistry and Materials Science674Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward38Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science19Key Aspects in Designing High-Throughput Workflows in Electrocatalysis Research: A Case Study on IrCo Mixed-Metal Oxides5Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation3An open-source peristaltic pump with multiple independent channels for laboratory automation1Archerfish: a retrofitted 3D printer for high-throughput combinatorial experimentation via continuous printing10Autonomous Laboratories and Closed-Loop Materials Discovery: A Conceptual Framework for Self-Driving Experimentation0Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry51Data-driven finding of organic anode active materials for lithium-ion batteries from natural flower scent products using capacity predictors2Data-scientific validation of prediction models for the controlled syntheses of exfoliated nanosheets1Delegated Experimentation: Decision Authority Transfer in Closed-Loop Materials Engineering0Democratizing self-driving labs: advances in low-cost 3D printing for laboratory automation25Flow chemistry as a tool for high throughput experimentation15High-throughput robotic colourimetric titrations using computer vision14Low-Cost Prototye for Accessible Precision Manufacturing and Characterization0Measurements with noise: Bayesian optimization for co-optimizing noise and property discovery in automated experiments8Perspective: From Prediction to Design — A Position on Optimization-Centric Workflows in Materials ML0Self-driving laboratories in Japan13Variable pathlength cell for internal data validation in computer vision1Artificial Intelligence Meets Laboratory Automation in Discovery and Synthesis of Metal–Organic Frameworks: A Review41Solvent Screening for Separation Processes Using Machine Learning and High-Throughput Technologies34The Implementation and Impact of Chemical High-Throughput Experimentation at AstraZeneca36Research Trend Analysis in the Field of Self-Driving Labs Using Network Analysis and Topic Modeling1Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science5Science acceleration and accessibility with self-driving labs83The evolving role of programming and LLMs in the development of self-driving laboratories4A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research569Chapter 4 The autonomous revolution: role of AI in self-driving labs for materials sciences2AI-driven new materials development and data standardization4Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective14Movable optical sensor for automatic detection and monitoring of liquid–liquid interfaces0Steering towards safe self-driving laboratories41Expanding the Toolbox of Simple, Cost-Efficient, and Automatable Methods for Quantifying Surface Functional Groups on Nanoparticles─Potentiometric Titration2A Data-Driven Workflow for Nanomedicine Optimization Using Active Learning and Automated Experimentation18MatMMFuse: Multimodal fusion model for material property prediction5A Computational Renaissance in High-Energy Density Materials (HEDMs) Research38A self-driving physical vapor deposition system making sample-specific decisions on the fly14Perspective on utilizing foundation models for laboratory automation in materials research2Pioneering Quantum Computing in Financial Services0MIK-I: a portable low-cost platform for automated C–C bond synthesis0Silver integrated hybrids and nanocomposites for next-generation biomedicine: Beyond antimicrobial coatings toward smart sense–response–heal platforms16Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework10Product design, synthesis, and lab automation with The World Avatar0BRINE: a cost-effective electrochemical self-driving laboratory for accelerated discovery of high-performance electrolytes4Self-driving lab discovers principles for steering spontaneous emission beyond conventional Fourier optics4Streamlined Work‐Up for High‐Throughput Experimentation Using Automated Filtration0Automated closed-loop continuous flow block copolymer synthesizer4Computer vision for high-throughput materials synthesis: a tutorial for experimentalists6A software framework for translating literature-derived χDL procedures into execution-format programs on the Chemspeed automation platform0Accelerated materials discovery through random-library exploration by automated scanning transmission electron microscopy0Accelerating catalytic advancements through the precision of high-throughput experiments & calculations4AI-Driven Optimization of Polymer Structure0Can we automate scientific reasoning in closed-loop experiments using large language models?4Multi-task scheduling of self-driving laboratories under scientific constraints1Navigating the landscape of modular reconfigurable laboratory automation in chemistry1Qubots: open-source modular laboratory robots as building blocks for flexible assembly of self-driving labs0Shifting the educational paradigm: Discovering concepts and connections0Toward self-driving laboratory 2.0 for chemistry and materials discovery15Advanced frugal methodology for accessible precision materials processing and characterization1Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers2Bringing ML to the real world: Rewards are all we need1Accelerated Emergence of Self-Driving Laboratories for Accelerating Materials Discovery1Autonomous Synthesis of Nanoparticles with Target Scattering Patterns8Pondering the Future of Chemical Research Amid the Wider Adoption of Artificial Intelligence Technologies0The ADePT framework for assessing autonomous laboratory robotics8A Purpose-Built Open Source Liquid Handler for Industry-Class Automated Experiments0From Data to Discovery: Challenges and Solutions in AI-Driven Materials Science0Computer vision for efficient object detection and segmentation in molecular image analysis1Sustainable Materials Design With Multi‐Modal Artificial Intelligence1Self-driving manufacturing labs: A conceptual framework and implementation case studies0Assessing Digital Transformation Readiness in Science and Education: Towards an Integrated Science-Education-Society Ecosystem0Real-time Multi-instrument Autonomous Materials Screening for Discovery of Novel Phase-change Memory Materials0Automation in Pharmaceutical Crystallization0OFAT-BO: A one-factor-at-a-time Bayesian optimization method for continuous-flow experiment optimization0Leveraging Large Language Models for Understanding Fundamental Principles of Catalysis0The Evolution of Generative Chemistry in Medicinal Chemistry0AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization2Accelerating the development of protein-based materials: Automation as a tool for materials advancement0Bayesian Conavigation of a Computational Physical Model and Atomic Force Microscopy Experiment to Autonomously Survey a Combinatorial Materials Library0Self-driving labs: A new paradigm in cell culture0Large-language-model-driven adaptive search space definition for autonomous closed-loop materials exploration0Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants0CRISP: A 3D printer-based platform for precision solution printing on paper-based substrates0Advanced engineering of inorganic semiconductor nanowires: Materials-by-design for next-generation green energy technologies0An Autonomous Robotized Cell for Polymer Foaming0Design, fabrication, and validation of a low-cost open-source multi-sensor automatic titrator with gravimetric titrant delivery for real-time endpoint and enthalpy determination0Machine learning and autonomous discovery of twisted van der Waals quantum materials: From moiré engineering to self-driving platforms0

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  1. Autonomous laboratories for accelerated materials discovery: a community survey and practical insights

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    Linda Hung, Joyce A. Yager, Danielle R. Monteverde, Dave Baiocchi, Ha-Kyung Kwon, Shijing Sun, Santosh K. Suram

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  2. Pellet dispensomixer and pellet distributor: open hardware for nanocomposite space exploration via automated material compounding

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    Miguel Hernández‐del‐Valle, Jorge Ilarraza-Zuazo, Enrique Dios-Lázaro, Javier Rubio, Joris Audoux, Maciej Harańczyk

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  3. Autonomous chemistry: Navigating self-driving labs in chemical and material sciences

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  4. Toward soft robotic inspection for aircraft: An overview and perspective

    MRS Communications · 2024-07-03

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  5. Self-Driving Laboratories for Chemistry and Materials Science

    Chemical Reviews · 2024-08-13

    Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Sergio Pablo‐García, Ella Miray Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth‐Kalthoff, Martin T. Seifrid, Alán Aspuru‐Guzik

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  6. Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward

    Macromolecules · 2024-09-07

    Peter A. Beaucage, Duncan R. Sutherland, Tyler B. Martin

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  7. Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science

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  8. Key Aspects in Designing High-Throughput Workflows in Electrocatalysis Research: A Case Study on IrCo Mixed-Metal Oxides

    ACS Materials Letters · 2024-10-15

    Joanna Magdalena Przybysz, Ken J. Jenewein, Mária Minichová, Tomáš Hrbek, Thomas Böhm, Tatiana Priamushko, Serhiy Cherevko

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  9. Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation

    Langmuir · 2024-12-30

    M. C. Ekosso, Hao Liu, Avery Glagovich, Dustin Nguyen, Sarah Maurer, Joshua Schrier

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  10. An open-source peristaltic pump with multiple independent channels for laboratory automation

    Digital Discovery · 2025-01-01

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  11. Archerfish: a retrofitted 3D printer for high-throughput combinatorial experimentation via continuous printing

    Digital Discovery · 2025-01-01

    Alexander E. Siemenn, Basita Das, Eunice Aissi, Fang Sheng, Lleyton Elliott, Blake Hudspeth, Marilyn Meyers, James Serdy, Tonio Buonassisi

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  12. Autonomous Laboratories and Closed-Loop Materials Discovery: A Conceptual Framework for Self-Driving Experimentation

    Journal of Computational and Data-Driven Materials Engineering · 2025-01-01

    Thabo Nkosi, Lerato Molefe, Sipho Dlamini, Ayanda Mokoena, Kabelo Ndlovu

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  13. Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry

    Chemical Society Reviews · 2025-01-01

    Austin M. Mroz, Annabel R. Basford, Friedrich Hastedt, Isuru Shavindra Jayasekera, Irea Mosquera‐Lois, Ruby Sedgwick, Pedro J. Ballester, Joshua D. Bocarsly, Ehecatl Antonio del Rio‐Chanona, Matthew L. Evans, Jarvist Moore Frost, Alex M. Ganose, Rebecca L. Greenaway, King Kuok Hii, Yingzhen Li, Ruth Misener, Aron Walsh, Dandan Zhang, Kim E. Jelfs

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  14. Data-driven finding of organic anode active materials for lithium-ion batteries from natural flower scent products using capacity predictors

    Journal of Materials Chemistry A · 2025-01-01

    Haruka Tobita, Kosuke Sakano, Hiroaki Imai, Yusuke Yamashita, Yuya Oaki

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  15. Data-scientific validation of prediction models for the controlled syntheses of exfoliated nanosheets

    Nanoscale Advances · 2025-01-01

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  16. Delegated Experimentation: Decision Authority Transfer in Closed-Loop Materials Engineering

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  17. Democratizing self-driving labs: advances in low-cost 3D printing for laboratory automation

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  18. Flow chemistry as a tool for high throughput experimentation

    Digital Discovery · 2025-01-01

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  19. High-throughput robotic colourimetric titrations using computer vision

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  20. Low-Cost Prototye for Accessible Precision Manufacturing and Characterization

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  21. Measurements with noise: Bayesian optimization for co-optimizing noise and property discovery in automated experiments

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  22. Perspective: From Prediction to Design — A Position on Optimization-Centric Workflows in Materials ML

    Journal of Computational and Data-Driven Materials Engineering · 2025-01-01

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  23. Self-driving laboratories in Japan

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  24. Variable pathlength cell for internal data validation in computer vision

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  25. Artificial Intelligence Meets Laboratory Automation in Discovery and Synthesis of Metal–Organic Frameworks: A Review

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  26. Solvent Screening for Separation Processes Using Machine Learning and High-Throughput Technologies

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  28. Research Trend Analysis in the Field of Self-Driving Labs Using Network Analysis and Topic Modeling

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  29. Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science

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  30. Science acceleration and accessibility with self-driving labs

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  31. The evolving role of programming and LLMs in the development of self-driving laboratories

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

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  34. AI-driven new materials development and data standardization

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

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  36. Movable optical sensor for automatic detection and monitoring of liquid–liquid interfaces

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  38. Expanding the Toolbox of Simple, Cost-Efficient, and Automatable Methods for Quantifying Surface Functional Groups on Nanoparticles─Potentiometric Titration

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  43. Perspective on utilizing foundation models for laboratory automation in materials research

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  44. Pioneering Quantum Computing in Financial Services

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  45. MIK-I: a portable low-cost platform for automated C–C bond synthesis

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  46. Silver integrated hybrids and nanocomposites for next-generation biomedicine: Beyond antimicrobial coatings toward smart sense–response–heal platforms

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  47. Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework

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  48. Product design, synthesis, and lab automation with The World Avatar

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

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  50. Self-driving lab discovers principles for steering spontaneous emission beyond conventional Fourier optics

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