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RESEARCH PAPER · Journal of the American Chemical Society · 2021

High-Throughput Study of Antisolvents on the Stability of Multicomponent Metal Halide Perovskites through Robotics-Based Synthesis and Machine Learning Approaches

Kate Higgins, Maxim A Ziatdinov, Sergei V. Kalinin, Mahshid Ahmadi

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High-Throughput Study of Antisolvents on the Stability of Multicomponent Metal Halide Perovskites through Robotics-Based Synthesis and Machine Learning ApproachesOriginalMachine learning for high-throughput experimental exploration of metal halide perovskites117“Green” synthesis of highly luminescent lead-free Cs 2 Ag x Na 1− x Bi y In 1− y Cl 6 perovskites22Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence62Halide Perovskite Crystallization Processes and Methods in Nanocrystals, Single Crystals, and Thin Films163Materials Data toward Machine Learning: Advances and Challenges62An adaptive framework to accelerate optimization of high flame retardant composites using machine learning41Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation118Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra6The rise of self-driving labs in chemical and materials sciences570Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces11Closed-loop optimization of nanoparticle synthesis enabled by robotics and machine learning72Combined Ultraviolet Ozone and Thermally Activated Formamidinium Iodide Solution to Fabricate Large Grain FAPbI2.6Br0.3Cl0.1 Films5A robotic platform for the synthesis of colloidal nanocrystals169The Effect of Redox Reactions on the Stability of Perovskite Solar Cells21High-Throughput Automated Exploration of Phase Growth Kinetics in Quasi-2D Formamidinium Metal Halide Perovskites0Probe microscopy is all you need *20Robotic platform for accelerating the high-throughput study of silver nanocrystals in sensitive/selective Hg2+ detection15Empowering scientists with data-driven automated experimentation9The role of machine learning in perovskite solar cell research42Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys31High‐Throughput Automated Exploration of Phase Growth Behaviors in Quasi‐2D Formamidinium Metal Halide Perovskites32Machine‐Learning Accelerating the Development of Perovskite Photovoltaics12Domain hyper-languages bring robots together and enable the machine learning community4PyLabRobot: An open-source, hardware-agnostic interface for liquid-handling robots and accessories43Communicating Supraparticles to Enable Perceptual, Information‐Providing Matter11Data‐Driven Fine Element Tuning of Halide Double Perovskite for Enhanced Photoluminescence6Explainability and human intervention in autonomous scanning probe microscopy17Large language models for chemistry robotics110Automated LARP synthesis identifies optimal ligand combinations for perovskite nanocrystal preparation2Machine learning–assisted colloidal synthesis: A review39High-Throughput Multi-Scale Experiments to Probe the Stability of Metal Halide Perovskites11Machine learning for expediting next-generation of fire-retardant polymer composites43Physics-driven discovery and bandgap engineering of hybrid perovskites12Six metal cations in one double perovskite: exploring complexity of chloride elpasolites by high-throughput experimentation7Strongly-confined colloidal lead-halide perovskite quantum dots: from synthesis to applications170Advancing perovskite solar cell commercialization: Bridging materials, vacuum deposition, and AI-assisted automation32Tailoring Local Chemical Ordering via Elemental Tuning in High-Entropy Alloys90Accelerating Photostability Evaluation of Perovskite Films through Intelligent Spectral Learning-Based Early Diagnosis20Lead-Free Halide Perovskites for Photocatalysis via High-Throughput Exploration30Designing workflows for materials characterization22Redox-Sensitive NiO x Stabilizing Perovskite Films for High-Performance Photovoltaics47From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning65Accelerating Materials Discovery by High‐Throughput GIWAXS Characterization of Quasi‐2D Formamidinium Metal Halide Perovskites22Decoding the Broadband Emission of 2D Pb‐Sn Halide Perovskites through High‐Throughput Exploration18Digital manufacturing of perovskite materials and solar cells12When Metal Nanoclusters Meet Smart Synthesis31Repeatable Perovskite Solar Cells through Fully Automated Spin-Coating and Quenching21From Sunlight to Solutions: Closing the Loop on Halide Perovskites3A comprehensive review of machine learning applications in perovskite solar cells: Materials discovery, device performance, process optimization and systems integration41Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives61Self-driving AMADAP laboratory: Accelerating the discovery and optimization of emerging perovskite photovoltaics16Combinatorial composition-gradient and -aligned CsPb(Br1−xIx)3 films by IR-laser MBE1Tailoring Molecular Space to Navigate Phase Complexity in Cs‐Based Quasi‐2D Perovskites via Gated‐Gaussian‐Driven High‐Throughput Discovery19Performance optimization of perovskite solar cells with an automated spin coating system and artificial intelligence technologies17Advancing perovskite photovoltaic technology through machine learning‐driven automation49A Multiagent-Driven Robotic AI Chemist Enabling Autonomous Chemical Research On Demand167Ligand-induced self-assembly of twisted two-dimensional halide perovskites10AURORA - An Automatic Robotic Platform for Materials Discovery7Unlocking a self-driving research workflow for perovskite photovoltaics12Material intelligence by the convergence of artificial intelligence and robotic platforms16Machine Learning‐Driven Perovskite Research from Experimental Exploration to Industrial Development6Materials discovery in combinatorial and high-throughput synthesis and processing: A new Frontier for SPM9Transformative applications of artificial intelligence in lithium battery materials science: advancements and future prospects0Automation of the Antisolvent Method via an Automated Spin‐Coating System and the Effects of Reduced Surface Roughness and Depth Distribution of Residual PbI 2 on Reproducibility1Machine Learning Unlocks New Directions in Halide Perovskite Research6Machine Learning Descriptors for Mapping Structure‐Property‐Performance Relationships of Perovskite Solar Cells7Combinatorial to autonomous experimentation0Cost-aware Bayesian optimization of real-world nanoindentation workflows for accelerated mechanical characterization0Foehn: An open-hardware asynchronous scheduling hub for high-throughput liquid-handling workflow0Heavy Halide Nanomaterials as Next-Generation Hosts for Lanthanide Upconversion10Understanding Synthesis Space in Ligand-Assisted Reprecipitated CsPb(Br x I 1– x ) 3 Perovskite Nanocrystals3Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories1Agentic Robotic Boxes for Perovskite Solar Cell Fabrication with Recipe Language Model3A programmable and reconfigurable flow chemistry platform for high-throughput nanoparticle synthesis and screening0Towards system-level artificial intelligence in perovskite photovoltaics0

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  2. “Green” synthesis of highly luminescent lead-free Cs 2 Ag x Na 1− x Bi y In 1− y Cl 6 perovskites

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