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Toward autonomous design and synthesis of novel inorganic materials

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Surface chemistry-engineered perovskite quantum dot photovoltaics

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Continuous biphasic chemical processes in a four-phase segmented flow reactor

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Non-fouling flow reactors for nanomaterial synthesis

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Accelerated screening of colloidal nanocrystals using artificial neural network-assisted autonomous flow reactor technology

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Autonomous nanomanufacturing of lead-free metal halide perovskite nanocrystals using a self-driving fluidic lab

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Autonomous chemical science and engineering enabled by self-driving laboratories

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Accelerated room temperature synthesis of desired cesium lead halide perovskite nanocrystals via automated microfluidic meta learner

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Machine-Learning-Guided Discovery of 19F MRI Agents Enabled by Automated Copolymer Synthesis

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Learning from the future: towards continuous manufacturing of nanomaterials

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Smart Dope: A Self‐Driving Fluidic Lab for Accelerated Development of Doped Perovskite Quantum Dots

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Advanced Energy Materials, 2024, 14
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Predicting Real‐Time Spectra from High‐Speed Imaging: An Ultrafast Machine Vision Framework for Online Optical Control in Microfluidics

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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices

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Advanced Science, 2025, 12
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Accelerated Photostability Studies of Colloidal Quantum Dots

Hamed Morshedian and Milad Abolhasani

Solar RRL, 2023, 7
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Autonomous continuous flow reactor synthesis for scalable atom-precision

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Explainability and human intervention in autonomous scanning probe microscopy

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The rise of self-driving labs in chemical and materials sciences

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Advancing materials discovery through artificial intelligence

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Flow Chemistry: A Sustainable Voyage Through the Chemical Universe en Route to Smart Manufacturing

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Big Data in a Nano World: A Review on Computational, Data-Driven Design of Nanomaterials Structures, Properties, and Synthesis

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Using Data-Driven Learning to Predict and Control the Outcomes of Inorganic Materials Synthesis

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Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments

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ACS Nanosci. Au, 2026, 6, 86
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Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

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Self-Driving Laboratories for Chemistry and Materials Science

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Expanding the Tool Kit of Automated Flow Synthesis: Development of In-line Flash Chromatography Purification

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Photo‐Induced Bandgap Engineering of Metal Halide Perovskite Quantum Dots In Flow

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Non-equilibrium Mn doping to CeO2 nanoparticles in continuous-flow hydrothermal synthesis

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Democratizing Microreactor Technology for Accelerated Discoveries in Chemistry and Materials Research

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Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation

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

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Surfactant‐Free Continuous‐Flow Synthesis of Cu2O Crystals with Diverse Facets and Sizes

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Unraveling the impact of initial choices and in-loop interventions on learning dynamics in autonomous scanning probe microscopy

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Journal of Applied Physics, 2024, 135
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A Brief Introduction to Chemical Reaction Optimization

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Machine learning–assisted colloidal synthesis: A review

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Research Acceleration in Self‐Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery

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Advanced Intelligent Systems, 2023, 5
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Modern nanoscience: Convergence of AI, robotics, and colloidal synthesis

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Machine-Learning Assisted Exploration: Toward the Next-Generation Catalyst for Hydrogen Evolution Reaction

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Autonomous Multi‐Step and Multi‐Objective Optimization Facilitated by Real‐Time Process Analytics

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Advancing genetic engineering with active learning: theory, implementations and potential opportunities

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AI-driven design and applications of quantum dots

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Self-Optimizing Flow Reactions for Sustainability: An Experimental Bayesian Optimization Study

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A survey of AI-supported materials informatics

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Artificial Intelligence and Generative Models for Materials Discovery: A Review

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Tuning Bayesian optimization for materials synthesis: simulating two- and three-dimensional cases

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Process intensification 4.0: A new approach for attaining new, sustainable and circular processes enabled by machine learning

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Applications and potentials of machine learning in optoelectronic materials research: An overview and perspectives

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Autonomous Nanocrystal Doping by Self‐Driving Fluidic Micro‐Processors

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Advanced Intelligent Systems, 2022, 4
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Integrating Artificial Intelligence and Microfluidics Technology for Psoriasis Therapy: A Comprehensive Review for Research and Clinical Applications

Ibrahim Shaw, Yimer Seid Ali, Changhong Nie, Kexin Zhang, Chuanpin Chen and Yin Xiao

Advanced Intelligent Systems, 2025, 7
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AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning

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Reaching new frontiers in nanoelectronics through artificial intelligence

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Advanced ocean wave energy harvesting: current progress and future trends

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Science acceleration and accessibility with self-driving labs

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

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Transient response to perturbations in flow synthesis of citrate capped gold nanoparticles

Atul H. Bari, Neerja Shukla, Asterios Gavriilidis and Amol A. Kulkarni

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Artificial Intelligence‐Based Material Discovery for Clean Energy Future

Reza Maleki, Mohsen Asadnia and Amir Razmjou

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