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RESEARCH PAPER · Digital Discovery · 2024

The future of self-driving laboratories: from human in the loop interactive AI to gamification

Holland E. Hysmith, Elham Foadian, Shakti P. Padhy, Sergei V. Kalinin, R. G. Moore, Olga S. Ovchinnikova, Mahshid Ahmadi

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The future of self-driving laboratories: from human in the loop interactive AI to gamificationOriginalAutonomous laboratories for accelerated materials discovery: a community survey and practical insights33Physics-driven discovery and bandgap engineering of hybrid perovskites12The Problem of Scientific Autonomy in Automated Materials Hypothesis Generation0Integration of artificial intelligence and big data in materials science: New paradigms and scientific discoveries2Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories42Self-Driving Laboratories for Chemistry and Materials Science674Decoding the Broadband Emission of 2D Pb‐Sn Halide Perovskites through High‐Throughput Exploration18Synaptic coupling and synchronization for HR neural network developing a novel type II non-linear memristor, potential to neuromorphic application2Circuit-based New Type-II Nonlinear Memristor for Neuromorphic Applications0From Sunlight to Solutions: Closing the Loop on Halide Perovskites3Advancing Rare-Earth (4 f ) and Actinide (5 f ) Separation through Machine Learning and Automated High-Throughput Experiments11Shaping the Future of Self-Driving Autonomous Laboratories Workshop7New Locally-Active Memristor for Neuromorphic Application1Optimization of Fire Protection Systems Using Machine Learning : Application to Intumescent Systems0Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation3Agentic Drug Discovery Requires a Scientific Constitution for Autonomous Planning, Tool Selection, Experimentation, and Human Intervention0AI and automation: democratizing automation and the evolution towards true AI-autonomous robotics11Artificial Intelligence in Laboratories: A Systematic Review of Existing Applications, Advantages, and Implementation Difficulties1Automated electron microscopy sample preparation system2Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry51Decision Authority Frameworks in Autonomous Materials Discovery Systems0Democratizing self-driving labs: advances in low-cost 3D printing for laboratory automation25DropMicroFluidAgents (DMFAs): autonomous droplet microfluidic research framework through large language model agents6Human-AI synergy in adaptive active learning for continuous lithium carbonate crystallization optimization1Large Language Model-Driven Knowledge Discovery for Designing Advanced Micro/Nano Electrocatalyst Materials4Measurements with noise: Bayesian optimization for co-optimizing noise and property discovery in automated experiments8Neural tanks-in-series: a physics-guided neural network extension of the tanks-in-series model for enhanced flow reactor and reaction modelling5Role of the human-in-the-loop in emerging self-driving laboratories for heterogeneous catalysis48Research Trend Analysis in the Field of Self-Driving Labs Using Network Analysis and Topic Modeling1The 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 Research5Harnessing synthetic biology for sustainable industrial innovation: Advances, challenges, and future direction12AI Approaches to Homogeneous Catalysis with Transition Metal Complexes47Case Study of Using AI as Co-Pilot in Biotech Research: Functional Network Analysis of Invasive Cancer269Chapter 4 The autonomous revolution: role of AI in self-driving labs for materials sciences2The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers6PQPAS: A High-Accuracy Pneumatic Quantitative Powder Auto-Sampling Workstation0The Alchemist, the Scientist, and the Robot: Exploring the Potential of Human‐AI Symbiosis in Self‐Driving Polymer Laboratories8MERMaid: Universal multimodal mining of chemical reactions from PDFs using vision-language models12Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective14Learning the flow from the get-go0Editor-in-the-loop: A perspective in the AI-driven science era0A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery1Artificial intelligence for drug delivery: Yesterday, today and tomorrow27Autonomous catalysis research with human–AI–robot collaboration37The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science5Next-generation drug discovery: The AI revolution in pharmaceutical research6Molecular life sciences in the era of the Fourth Industrial Revolution: sequencing, multi-omics and artificial intelligence1A review on the role of artificial intelligence and data science in green and sustainable chemistry: current trends and futuristic pathways6Challenges and Advances of Photovoltaic Power and Rechargeable Battery Systems for Space Applications11Prospects for the implementation of collaborative robotic systems in laboratory medicine: a review0Pareto-Optimal Experimentation: Human-Guided Multi-Objective Bayesian Optimization in Scanning Probe Microscopy4A Cognitive Agentic AI Framework for Early-Phase Process Design and Optimization0Accelerated materials discovery through random-library exploration by automated scanning transmission electron microscopy0AI-Driven Optimization of Polymer Structure0Artificial intelligence-driven nanomaterial design and applications: advances, challenges, and future directions0Autonomous Laboratory Planning Agent for Solid-State Form Selection and Polymorph Screening0Can we automate scientific reasoning in closed-loop experiments using large language models?4Closed-loop agentic AI in drug discovery1Co-spacer engineering enables targeted phase selection in quasi-2D halide perovskites via automated multimodal experimentation0Combinatorial to autonomous experimentation0Human Oversight as System Design: A Conceptual Reframing of Control in Semi-Autonomous Materials AI0Human-in-the-Loop AI Agents for Cloud-Based Generative AI Systems: Ensuring Ethical Oversight and Adaptive Learning0Novelty-aware evolutionary Bayesian optimisation for multi-objective discovery science0Perspectives on Hybridizing Quantum Mechanics and Artificial Intelligence for Drug Design0Reflective Human–AI Collaboration: Preparing STEM Students for Future Work with XR Labs and LLM Technologies1The “augmented combustion scientist”: Shifting from data-driven science to agentic AI0The Future of AI and Biotechnology0Toward self-driving laboratory 2.0 for chemistry and materials discovery15Can AI Conduct Autonomous Scientific Research? Case Studies on Two Real-World Tasks13-dimensional multistate memristor structures based neuromorphic devices for high-density in-memory computing2Data Science-Assisted Workflow for Reaction Optimization in Process Chemistry2Enhancing Molecular Design and Lead Optimization Using Machine Learning0Osprey: Production-ready agentic AI for safety-critical control systems2Bringing ML to the real world: Rewards are all we need1The ADePT framework for assessing autonomous laboratory robotics8Atomic Layer Deposition in Transistors and Monolithic 3D Integration3Human-in-the-Loop Artificial Intelligence: A Systematic Review of Concepts, Methods, and Applications38Accelerated drug development using a digital formulator and a self-driving tableting data factory6Data-driven approaches for functional ceramics3Synthetic biology-driven microbial protein factories for space2SPACESHIP: Autonomous Mapping of Hardware-Dependent Synthesizable Space in Solution-Phase Gold Nanomaterials0Self-driving manufacturing labs: A conceptual framework and implementation case studies0Microfluidics: A Scalable Solution to Data Challenges in Chemical AI0A survey of agentic materials science and engineering: where are we and where are we going?0A foundational representation for an orchestrated lab0Assessing Digital Transformation Readiness in Science and Education: Towards an Integrated Science-Education-Society Ecosystem0Automated carousel-based electrochemical sensing toward microbiological and oncological settings0The impact of open data on research productivity and academic collaboration: A systematic literature review (2021–2025)0Agentic AI-driven closed-loop analytical systems for autonomous pharmaceutical method development and regulatory-aware analysis0Adaptive human-in-the-loop optimization using language-guided priors for chemical experiments0Autonomous laboratories for sustainable nanomaterials discovery0AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization2مجلة القانون والأعمال الدولية الاصدار رقم 66 أكتوبر 2026 : اصدار عالمي بمشاركة باحثين من 16 جنسية مختلفة0Bayesian Conavigation of a Computational Physical Model and Atomic Force Microscopy Experiment to Autonomously Survey a Combinatorial Materials Library0Self-driving laboratories for sustainable materials discovery: Autonomous experimentation and AI-driven optimization0Artificial Intelligence in Scalable Materials Synthesis and Manufacturing0Case Study of Bayesian Batch Optimization Strategies for Heterogeneous Catalysts in CO2 Hydrogenation0Toward autonomous chemical discovery: agentic AI in organic synthesis and nanochemistry0Advanced engineering of inorganic semiconductor nanowires: Materials-by-design for next-generation green energy technologies0مجلة القانون والأعمال الدولية الاصدار رقم 66 أكتوبر 2026 : اصدار عالمي بمشاركة باحثين من 16 جنسية مختلفة0

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

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  2. Physics-driven discovery and bandgap engineering of hybrid perovskites

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  3. The Problem of Scientific Autonomy in Automated Materials Hypothesis Generation

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  4. Integration of artificial intelligence and big data in materials science: New paradigms and scientific discoveries

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  5. Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories

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  7. Decoding the Broadband Emission of 2D Pb‐Sn Halide Perovskites through High‐Throughput Exploration

    Advanced Functional Materials · 2024-08-24

    Elham Foadian, Jonghee Yang, Sumner B. Harris, Yipeng Tang, Christopher M. Rouleau, Syed Joy, Kenneth R. Graham, Benjamin J. Lawrie, Bin Hu, Mahshid Ahmadi

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  8. Synaptic coupling and synchronization for HR neural network developing a novel type II non-linear memristor, potential to neuromorphic application

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  9. Circuit-based New Type-II Nonlinear Memristor for Neuromorphic Applications

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  10. From Sunlight to Solutions: Closing the Loop on Halide Perovskites

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  11. Advancing Rare-Earth (4 f ) and Actinide (5 f ) Separation through Machine Learning and Automated High-Throughput Experiments

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  13. New Locally-Active Memristor for Neuromorphic Application

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  14. Optimization of Fire Protection Systems Using Machine Learning : Application to Intumescent Systems

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

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  16. Agentic Drug Discovery Requires a Scientific Constitution for Autonomous Planning, Tool Selection, Experimentation, and Human Intervention

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  18. Artificial Intelligence in Laboratories: A Systematic Review of Existing Applications, Advantages, and Implementation Difficulties

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  28. Role of the human-in-the-loop in emerging self-driving laboratories for heterogeneous catalysis

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