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RESEARCH PAPER · Advanced Intelligent Systems · 2019

Deep Learning Accelerated Gold Nanocluster Synthesis

Jiali Li, Tiankai Chen, Kaizhuo Lim, Lingtong Chen, Saif A. Khan, Jianping Xie, Xiaonan Wang

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Deep Learning Accelerated Gold Nanocluster SynthesisOriginalA method for structure prediction of metal-ligand interfaces of hybrid nanoparticles52Autonome Entdeckung in den chemischen Wissenschaften, Teil I: Fortschritt12Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick4Autonomous Discovery in the Chemical Sciences Part I: Progress317Autonomous Discovery in the Chemical Sciences Part II: Outlook245Ligand-protected gold/silver superatoms: current status and emerging trends122Towards elucidating structure of ligand-protected nanoclusters23Intelligent Nanoarchitectonics for Self‐Assembling Systems19Monte Carlo Simulations of Au 38 (SCH 3 ) 24 Nanocluster Using Distance-Based Machine Learning Methods54Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot323Smart Manufacturing for Smart Cities—Overview, Insights, and Future Directions57Toward Controlling the Electronic Structures of Chemically Modified Superatoms of Gold and Silver104AI Applications through the Whole Life Cycle of Material Discovery192Online prediction of mechanical properties of hot rolled steel plate using machine learning215Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow95Deep learning for material synthesis and manufacturing systems: A review74Deep Learning for Medical Materials: Review and Perspective7Impact of atomistic or crystallographic descriptors for classification of gold nanoparticles10Recent progress and applications of gold nanotechnology in medical biophysics using artificial intelligence and mathematical modeling111Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow31Insights and Perspectives Regarding Nanostructured Fluorescent Materials toward Tackling COVID-19 and Future Pandemics41A robust low data solution: Dimension prediction of semiconductor nanorods13Nanoparticle synthesis assisted by machine learning545Photoluminescent Nanoparticles for Chemical and Biological Analysis and Imaging356Microfluidic Studies of Cesium Lead Halide Perovskite Quantum Dots.0Interactions of Metal Nanoclusters with Light: Fundamentals and Applications143Bright Future of Gold Nanoclusters in Theranostics59Data-driven simulation and characterisation of gold nanoparticle melting71Recent advances in autonomous synthesis of materials33Intelligent control of nanoparticle synthesis through machine learning83Resolving electrocatalytic imprecision in atomically precise metal nanoclusters8Instantaneous Property Prediction and Inverse Design of Plasmonic Nanostructures Using Machine Learning: Current Applications and Future Directions32Smart materials: rational design in biosystems via artificial intelligence107Interaction of low-fluence femtosecond laser pulses with a composite layer containing Ge nanoclusters: A novel type of nanofoam formation2Two-dimensional transient heat transfer model of moving quenching jet based on machine learning26Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects13Deep learning to catalyze inverse molecular design29Autonomous chemical science and engineering enabled by self-driving laboratories72Machine Learning-Based Modelling and Meta-Heuristic-Based Optimization of Specific Tool Wear and Surface Roughness in the Milling Process11A review on functional nanoarchitectonics nanocomposites based on octahedral metal atom clusters (Nb 6 , Mo 6 , Ta 6 , W 6 , Re 6 ): inorganic 0D and 2D powders and films63Identification of chemical compositions from “featureless” optical absorption spectra: Machine learning predictions and experimental validations24Automated and intelligent chemical synthesis5Machine Learning Analysis of Reaction Parameters in UV-Mediated Synthesis of Gold Nanoparticles23Understanding ligand-protected noble metal nanoclusters at work356Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation85Atomically Precise Water-Soluble Gold Nanoclusters: Synthesis and Biomedical Application39Multiobjective Optimization of Roll-Forming Procedure Using NSGA-II and Type-2 Fuzzy Neural Network23Artificial Intelligence and Evolutionary Approaches in Particle Technology15Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts14Machine learning in analytical chemistry: From synthesis of nanostructures to their applications in luminescence sensing753D-printed microfluidic system for the in situ diagnostics and screening of nanoparticles synthesis parameters16Analysis and prediction of microbial fuel cell behaviour using MLP and SVR22Machine learning–assisted colloidal synthesis: A review39Luminescent carbon dots versus quantum dots and gold nanoclusters as sensors44Understanding Hot Injection Quantum Dot Synthesis Outcomes Using Automated High-Throughput Experiment Platforms and Machine Learning24Chemical Flexibility of Atomically Precise Metal Clusters280Discovering of Atomically Precise Metal Nanoclusters by High‐Throughput Syntheses Platform9NIR‐II Surface‐Enhanced Raman Scattering Nanoprobes in Biomedicine: Current Impact and Future Directions27Clinical translation of nanomedicine with integrated digital medicine and machine learning interventions43Recent advances in the metamaterial and metasurface-based biosensor in the gigahertz, terahertz, and optical frequency domains73Machine learning-assisted rheumatoid arthritis formulations: A review on smart pharmaceutical design10When Metal Nanoclusters Meet Smart Synthesis31DGAG : A Novel Approach That Detects Green Areas With Geolocation From Large‐Scale Satellite Imaging Instance Segmentation and GIS Application3Synthesis planning for atomically precise metal nanoclusters8Advances in machine learning applications for thiolate‐protected metal nanoclusters with potential metallic core exploration3A Data-Science Approach to Experimental Catalyst Discovery: Integrating Exploration, Exploitation, and Serendipity5Advancing the design of gold nanomaterials with machine-learned potentials5Therapeutic potential and clinical translation of nanodrugs: A path forward- case studies from bench to bedside1Precise Surface Engineering of Metal Nanoclusters: Ligand Programming for Functionality Design65SurFF: a foundation model for surface exposure and morphology across intermetallic crystals9Artificial intelligence for nanomedicine15Recent Advances in Metal Nanoclusters: From Novel Synthesis to Emerging Applications27AI-driven design of powder-based nanomaterials for smart textiles: from data intelligence to system integration27Accelerated discovery of multinary chalcogenide quantum dots: combining aqueous chemistry with high-throughput experimentation and machine learning3Utilizing a SHAP-Assisted Machine Learning Algorithm for Optimization of Plasmonic Properties of Gold Nanostructure1Standardization and Machine Learning Prediction of Tafel Slope of Pt‐Based Nanocatalysts for High‐Performance HER Catalyst Development4Peptide and Drug‐Protected Gold Nanoclusters as Promising Biomaterials: Synthesis, Properties, and Applications7Machine learning framework for simultaneous classification of shapes and regression of LSPR wavelengths in various shapes of gold nanoparticles0Interpretable Small-Sample Deep Learning with Approximate Attribution Enhancement for Atomically Precise Gold Nanoclusters Synthesis0Controlled synthesis and electrocatalytic applications of atomically precise AuAg nanoclusters: a review0

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  1. A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles

    Nature Communications · 2019-09-03

    Sami Malola, Paavo Nieminen, Antti Pihlajamäki, Joonas Hämäläinen, Tommi Kärkkäinen, Hannu Häkkinen

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  2. Autonome Entdeckung in den chemischen Wissenschaften, Teil I: Fortschritt

    Angewandte Chemie · 2019-09-25

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  3. Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick

    Angewandte Chemie · 2019-09-25

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  4. Autonomous Discovery in the Chemical Sciences Part I: Progress

    Angewandte Chemie International Edition · 2019-09-25

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  5. Autonomous Discovery in the Chemical Sciences Part II: Outlook

    Angewandte Chemie International Edition · 2019-09-25

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  6. Ligand-protected gold/silver superatoms: current status and emerging trends

    Chemical Science · 2020-01-01

    Haru Hirai, Shun Ito, Shinjiro Takano, Kiichirou Koyasu, Tatsuya Tsukuda

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  7. Towards elucidating structure of ligand-protected nanoclusters

    Dalton Transactions · 2020-01-01

    Michael J. Cowan, Giannis Mpourmpakis

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  8. Intelligent Nanoarchitectonics for Self‐Assembling Systems

    Advanced Intelligent Systems · 2020-01-16

    Katsuhiko Ariga, Lok Kumar Shrestha

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  9. Monte Carlo Simulations of Au 38 (SCH 3 ) 24 Nanocluster Using Distance-Based Machine Learning Methods

    The Journal of Physical Chemistry A · 2020-05-15

    Antti Pihlajamäki, Joonas Hämäläinen, Joakim Linja, P. Nieminen, Sami Malola, Tommi Kärkkäinen, Hannu Häkkinen

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  10. Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot

    Advanced Materials · 2020-06-04

    Robert W. Epps, Michael Bowen, Amanda A. Volk, Kameel Abdel‐Latif, Suyong Han, Kristofer G. Reyes, Aram Amassian, Milad Abolhasani

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  11. Smart Manufacturing for Smart Cities—Overview, Insights, and Future Directions

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    Manu Suvarna, Lennart Büth, Johannes Hejny, Mark Mennenga, Jie Li, Yen Ting Ng, Christoph A. Herrmann, Xiaonan Wang

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  12. Toward Controlling the Electronic Structures of Chemically Modified Superatoms of Gold and Silver

    Small · 2020-07-21

    Tsubasa Omoda, Shinjiro Takano, Tatsuya Tsukuda

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  13. AI Applications through the Whole Life Cycle of Material Discovery

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    Jiali Li, Kaizhuo Lim, Haitao Yang, Zekun Ren, S. Raghavan, Po‐Yen Chen, Tonio Buonassisi, Xiaonan Wang

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  14. Online prediction of mechanical properties of hot rolled steel plate using machine learning

    Materials & Design · 2020-10-01

    Qian Xie, Manu Suvarna, Jiali Li, Xinzhe Zhu, Jiajia Cai, Xiaonan Wang

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  15. Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow

    Advanced Intelligent Systems · 2020-12-10

    Kameel Abdel‐Latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, Milad Abolhasani

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  16. Deep learning for material synthesis and manufacturing systems: A review

    Materials Today Proceedings · 2021-01-01

    V. Bhuvaneswari, M. Priyadharshini, Chokkalingam Deepa, D. Balaji, L. Rajeshkumar, M. Ramesh

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  17. Deep Learning for Medical Materials: Review and Perspective

    ES Materials & Manufacturing · 2021-01-01

    Yangjie Qi, Chang Liu

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  18. Impact of atomistic or crystallographic descriptors for classification of gold nanoparticles

    Nanoscale · 2021-01-01

    Haonan Zhang, Amanda Susan Barnard

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  19. Recent progress and applications of gold nanotechnology in medical biophysics using artificial intelligence and mathematical modeling

    Nano Express · 2021-01-20

    Julia A Moore, James C. L. Chow

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  20. Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow

    Advanced Intelligent Systems · 2021-02-01

    Kameel Abdel‐Latif, Robert W. Epps, Fazel Bateni, Suyong Han, Kristofer G. Reyes, Milad Abolhasani

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  21. Insights and Perspectives Regarding Nanostructured Fluorescent Materials toward Tackling COVID-19 and Future Pandemics

    ACS Applied Nano Materials · 2021-02-11

    Mohit Saraf, Mohammad Tavakkoli Yaraki, Prateek Prateek, Yen Nee Tan, Raju Kumar Gupta

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  22. A robust low data solution: Dimension prediction of semiconductor nanorods

    Computers & Chemical Engineering · 2021-04-01

    Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang

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  23. Nanoparticle synthesis assisted by machine learning

    Nature Reviews Materials · 2021-07-13

    Huachen Tao, Tianyi Wu, Matteo Aldeghi, Tony Wu, Alán Aspuru‐Guzik, Eugenia Kumacheva

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  24. Photoluminescent Nanoparticles for Chemical and Biological Analysis and Imaging

    Chemical Reviews · 2021-07-20

    W. Russ Algar, Melissa Massey, Kelly Rees, Rehan Higgins, Katherine D. Krause, Ghinwa H. Darwish, William J. Peveler, Zhujun Xiao, Hsin-Yun Tsai, Rupsa Gupta, Kelsi Lix, Michael V. Tran, Hyungki Kim

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  25. Microfluidic Studies of Cesium Lead Halide Perovskite Quantum Dots.

    NCSU Libraries Repository (North Carolina State University Libraries) · 2021-08-09

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  26. Interactions of Metal Nanoclusters with Light: Fundamentals and Applications

    Advanced Materials · 2021-10-07

    Tiankai Chen, Hongbin Lin, Yitao Cao, Qiaofeng Yao, Jianping Xie

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  27. Bright Future of Gold Nanoclusters in Theranostics

    ACS Applied Materials & Interfaces · 2021-10-12

    Anna Cifuentes‐Rius, Veerasikku Gopal Deepagan, Jianping Xie, Nicolas Hans Voelcker

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  28. Data-driven simulation and characterisation of gold nanoparticle melting

    Nature Communications · 2021-10-18

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  29. Recent advances in autonomous synthesis of materials

    ChemPhysMater · 2021-10-19

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  30. Intelligent control of nanoparticle synthesis through machine learning

    Nanoscale · 2022-01-01

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  31. Resolving electrocatalytic imprecision in atomically precise metal nanoclusters

    Current Opinion in Chemical Engineering · 2022-01-10

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  32. Instantaneous Property Prediction and Inverse Design of Plasmonic Nanostructures Using Machine Learning: Current Applications and Future Directions

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  33. Smart materials: rational design in biosystems via artificial intelligence

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  34. Interaction of low-fluence femtosecond laser pulses with a composite layer containing Ge nanoclusters: A novel type of nanofoam formation

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  35. Two-dimensional transient heat transfer model of moving quenching jet based on machine learning

    International Journal of Heat and Mass Transfer · 2022-03-24

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  36. Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects

    Frontiers of Chemical Science and Engineering · 2022-03-25

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  37. Deep learning to catalyze inverse molecular design

    Chemical Engineering Journal · 2022-04-28

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  38. Autonomous chemical science and engineering enabled by self-driving laboratories

    Current Opinion in Chemical Engineering · 2022-05-16

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  39. Machine Learning-Based Modelling and Meta-Heuristic-Based Optimization of Specific Tool Wear and Surface Roughness in the Milling Process

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  40. A review on functional nanoarchitectonics nanocomposites based on octahedral metal atom clusters (Nb 6 , Mo 6 , Ta 6 , W 6 , Re 6 ): inorganic 0D and 2D powders and films

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  41. Identification of chemical compositions from “featureless” optical absorption spectra: Machine learning predictions and experimental validations

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  42. Automated and intelligent chemical synthesis

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  43. Machine Learning Analysis of Reaction Parameters in UV-Mediated Synthesis of Gold Nanoparticles

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  44. Understanding ligand-protected noble metal nanoclusters at work

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  45. Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation

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  46. Atomically Precise Water-Soluble Gold Nanoclusters: Synthesis and Biomedical Application

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  47. Multiobjective Optimization of Roll-Forming Procedure Using NSGA-II and Type-2 Fuzzy Neural Network

    IEEE Transactions on Automation Science and Engineering · 2023-06-30

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  48. Artificial Intelligence and Evolutionary Approaches in Particle Technology

    KONA Powder and Particle Journal · 2023-07-14

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  49. Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts

    The Journal of Physical Chemistry C · 2023-07-18

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  50. Machine learning in analytical chemistry: From synthesis of nanostructures to their applications in luminescence sensing

    TrAC Trends in Analytical Chemistry · 2023-08-03

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