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RESEARCH PAPER · Nature Communications · 2025

Science acceleration and accessibility with self-driving labs

Richard B. Canty, Jeffrey A. Bennett, Keith A. Brown, Tonio Buonassisi, Sergei V. Kalinin, John R. Kitchin, Benji Maruyama, R. G. Moore, Joshua Schrier, Martin T. Seifrid, Shijing Sun, Tejs Vegge, Milad Abolhasani

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Science acceleration and accessibility with self-driving labsOriginalThe Problem of Irreversible Decisions in Autonomous Materials Optimization0AMPERE-2: an open-hardware, robotic platform for automated electrodeposition and electrochemical validation6DropMicroFluidAgents (DMFAs): autonomous droplet microfluidic research framework through large language model agents6Failure Visibility and Epistemic Accountability in Self-Driving Materials Engineering0Resource Allocation without Deliberation: Governance Structures in Autonomous Materials Experimentation0The Future of Materials Science with AI: Self-Driving Laboratories and Closed-Loop Discovery0El Agente: An autonomous agent for quantum chemistry54The role of flow chemistry in self-driving labs19The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers6Flow-driven data intensification to accelerate autonomous inorganic materials discovery25Autonomous Materials Synthesis Laboratories: Integrating Artificial Intelligence with Advanced Robotics for Accelerated Discovery4A Smart Workflow for Performing the Electrochemical Evaluation of Fuel Cell Catalysts in a Precise Way with Ultra-High Reproducibility4Autonomous multi-robot synthesis and optimization of metal halide perovskite nanocrystals20AI, agentic models and lab automation for scientific discovery — the beginning of scAInce43BioLab: End-to-End Autonomous Life Sciences Research with Multi-Agents System Integrating Biological Foundation Models3Blockchain for Credentialing and Academic Record-Keeping3Autonomous Droplet Microfluidic Design Framework with Large Language Models6Benchmarking self-driving labs13DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics21Exocortex Network for AI-Augmented Human-Led Scientific Expedition1High-Throughput Robotic GIWAXS at ALS SAXS/WAXS Beamline4Autonomous catalysis research with human–AI–robot collaboration37Leading artificial intelligence–driven drug discovery platforms: 2025 landscape and global outlook34A Visual Dataset for Anomaly Detection in Self-Driving Laboratories4Harnessing artificial intelligence to advance CRISPR-based genome editing technologies32Exploring glass science and technology through enhanced SciGlass database ( SciGlass+ )4Guiding design and performance of nonviral nucleic acid delivery vehicles via machine learning5Multimodal robotics and AI for electrocatalyst discovery0Designing and Utilizing Material Acceleration Platforms: Need for Workforce Development0From large language models to AI agents in energy materials research: enabling discovery, design, and automation12Helix: a structure-aware deep learning model for accurate prediction of A-to-I RNA editing by endogenous ADARs1Quality by Computational Design: Harnessing AI to Advance Rational Drug Development12AI-driven approaches for navigating battery complexity1Autonomous microfluidic labs: progress and prospects7Can we automate scientific reasoning in closed-loop experiments using large language models?4Discovery Plane Theory: A Quantitative Framework for Scientific Discovery Based on Discovery Complexity and Question Compression0Do Self-Driving Laboratories Accelerate Discovery or Automate Uncertainty, Bias, and Irreproducible Decisions?0Gaussian process regression-enhanced screening of Ir–Co–Ti mixed-oxide thin-film electrocatalyst libraries for acidic oxygen evolution0Introduction to high throughput synthesis, characterisation and optimisation of nanomaterials0The “augmented combustion scientist”: Shifting from data-driven science to agentic AI0Can AI Conduct Autonomous Scientific Research? Case Studies on Two Real-World Tasks1Large Language Models for High-Entropy Alloys: Literature Mining, Design Orchestration, and Evaluation Standards2Bringing ML to the real world: Rewards are all we need1General-Purpose Models for the Chemical Sciences: LLMs and Beyond6Generative AI as an Enabler for Process Intensification3Machine Learning and Autonomous Systems for Accelerated Synthesis1Accelerated Emergence of Self-Driving Laboratories for Accelerating Materials Discovery1A high-throughput cost-effective platform for monitoring viscoelastic transitions in hydrocolloids0The ADePT framework for assessing autonomous laboratory robotics8UV–visible Auto-Reactometry enabled parallel screening for accelerating chemical synthesis development with LLM1Smart Enantioseparation: A Critical Review of Instrumentation, Automation, and Data-Driven Strategies in Analytical Chirality6Data-driven approaches for functional ceramics3Adaptive, Bayesian Experimental Design to Efficiently Determine the Critical Micelle Concentration of a Surfactant3Beyond replacement anxiety: a psychological framework for understanding AI in natural science research0Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems2Self-driving manufacturing labs: A conceptual framework and implementation case studies0Turning self-driving labs into a community resource: Challenges and opportunities0Benign-by-design chemistry: Reinventing ligand-based drug design at the edge of AI0A chromatographic process design and optimization multi-agent platform powered by large language models: A case application on extract of Ginkgo biloba leaf0A chemically-aware validation framework for benchmarking large language models in materials synthesis planning1Beyond manual processing: Robotic-arm automation coupled with machine learning for precision control and correlation insights in perovskite solar cells0A foundational representation for an orchestrated lab0From High-Efficiency Devices to Reproducible Manufacturing: Self-driving Laboratories Are Reshaping Perovskite Photovoltaics1GALILEO: Embodied AI scientist for autonomous therapeutic discovery in dynamic membrane systems0AutoLabs: cognitive multi-agent systems with self-correction for autonomous chemical experimentation2Novel Materials Discovery via High-Throughput Automated Tribological Testing of Thin Films3Autonomous control of quantum-confined CsPbBr3 nanoplatelets0Comparative assessment of dilute alloys and complex concentrated alloys: Design principles, processing, mechanisms, properties, and sustainability0Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.01The past, present and future of self-driving laboratories5LLM-driven materials knowledge extraction: multimodal parsing, ontology, and agentic systems0Towards self-driving laboratories in the biopharmaceutical industry0PeroMAS: A Multi-agent System of Perovskite Material Discovery1From affinity to kinetics: SPR as the analytical backbone of AI-driven drug discovery0From capability uplift to capability governance: an AI–biosecurity stack0ChemAutoAgent: A Multi-Agent System for Evidence-Controlled Laboratory Instrument Driver Generation from Text-Based Manuals0Scientific Engineering of Self-Driving Laboratories at Scale1World models for biomedicine0Organic framework-based artificial enzymes for ROS biocatalysis and metabolic modulation0Toward autonomous chemical discovery: agentic AI in organic synthesis and nanochemistry0An Autonomous Robotized Cell for Polymer Foaming0The nature of science in the age of generative artificial intelligence: Epistemic authority, materiality, and a synergetic response0The rise of agentic AI in drug discovery from static tools to autonomous virtual scientists0

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  1. The Problem of Irreversible Decisions in Autonomous Materials Optimization

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  2. AMPERE-2: an open-hardware, robotic platform for automated electrodeposition and electrochemical validation

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  3. DropMicroFluidAgents (DMFAs): autonomous droplet microfluidic research framework through large language model agents

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  4. Failure Visibility and Epistemic Accountability in Self-Driving Materials Engineering

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  5. Resource Allocation without Deliberation: Governance Structures in Autonomous Materials Experimentation

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

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  6. The Future of Materials Science with AI: Self-Driving Laboratories and Closed-Loop Discovery

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  7. El Agente: An autonomous agent for quantum chemistry

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  8. The role of flow chemistry in self-driving labs

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  9. The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

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  10. Flow-driven data intensification to accelerate autonomous inorganic materials discovery

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  11. Autonomous Materials Synthesis Laboratories: Integrating Artificial Intelligence with Advanced Robotics for Accelerated Discovery

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  12. A Smart Workflow for Performing the Electrochemical Evaluation of Fuel Cell Catalysts in a Precise Way with Ultra-High Reproducibility

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    Xinyu Wu, Liuhong Zhang, Deying Kong, Ping He, Tong Zhang, Chao Sun

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  13. Autonomous multi-robot synthesis and optimization of metal halide perovskite nanocrystals

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  14. AI, agentic models and lab automation for scientific discovery — the beginning of scAInce

    Frontiers in Artificial Intelligence · 2025-08-29

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  15. BioLab: End-to-End Autonomous Life Sciences Research with Multi-Agents System Integrating Biological Foundation Models

    bioRxiv (Cold Spring Harbor Laboratory) · 2025-09-09

    Ruofan Jin, Yucheng Guo, Yuanhao Qu, Ming Yang, Chun Shang, Qirong Yang, Linlin Chao, Yi Zhou, Rui Min Xu, Ziyao Xu, Ruhong Zhou, Zaixi Zhang, Mengdi Wang, Xiaoming Zhang, Le Cong

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  16. Blockchain for Credentialing and Academic Record-Keeping

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    Subashini Babu, Anna Anbumozhi, S. Praveenkumar, Vasudevan N., Venkatesh Kaliamoorthy

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  17. Autonomous Droplet Microfluidic Design Framework with Large Language Models

    ACS Omega · 2025-09-26

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  18. Benchmarking self-driving labs

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  19. DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics

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

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

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  22. Autonomous catalysis research with human–AI–robot collaboration

    Nature Catalysis · 2025-11-05

    Negin Orouji, Jeffrey A. Bennett, Richard B. Canty, Long Hao Qi, Shijing Sun, Paulami Majumdar, Chong Liu, Núria López, Neil M. Schweitzer, John R. Kitchin, Hongliang Xin, Milad Abolhasani

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  23. Leading artificial intelligence–driven drug discovery platforms: 2025 landscape and global outlook

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  24. A Visual Dataset for Anomaly Detection in Self-Driving Laboratories

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  25. Harnessing artificial intelligence to advance CRISPR-based genome editing technologies

    Nature Reviews Genetics · 2025-11-18

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  26. Exploring glass science and technology through enhanced SciGlass database ( SciGlass+ )

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  27. Guiding design and performance of nonviral nucleic acid delivery vehicles via machine learning

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  34. Autonomous microfluidic labs: progress and prospects

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  37. Do Self-Driving Laboratories Accelerate Discovery or Automate Uncertainty, Bias, and Irreproducible Decisions?

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  43. Bringing ML to the real world: Rewards are all we need

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

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