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RESEARCH PAPER · Science Advances · 2020

A curious formulation robot enables the discovery of a novel protocell behavior

Jonathan Grizou, Laurie J. Points, Abhishek Sharma, Leroy Cronin

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42 direct citing works

A curious formulation robot enables the discovery of a novel protocell behaviorOriginalIntrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems14Designing peptide nanoparticles for efficient brain delivery52Pushing property limits in materials discovery via boundless objective-free exploration36Materials Acceleration Platforms: On the way to autonomous experimentation149Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems13Elevating Chemistry Research with a Modern Electronics Toolkit82Digitizing Chemistry Using the Chemical Processing Unit: From Synthesis to Discovery94Golem: an algorithm for robust experiment and process optimization38Automated robotic platforms in design and development of formulations22Advancing the Pareto front for thin-film materials using a self-driving laboratory0Nanoparticle synthesis assisted by machine learning545Autonomous experimentation systems for materials development: A community perspective398Accelerate Synthesis of Metal–Organic Frameworks by a Robotic Platform and Bayesian Optimization77Self-Propelled Chemical Garden Tubes13[Retracted] Machine Learning Algorithms Are Applied in Nanomaterial Properties for Nanosecurity10A self-driving laboratory advances the Pareto front for material properties211Data-Driven Design and Autonomous Experimentation in Soft and Biological Materials Engineering42The Role of Progress-Based Intrinsic Motivation in Learning : Evidence from Human Behavior and Future Directions0Curiosity-Driven Exploration3The Drive for Knowledge14Lessons for Robotics From the Control Architecture of the Octopus13Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models7Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models5Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery0Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery1An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials192On scientific understanding with artificial intelligence372Heuristic optimisation of multi-task dynamic architecture neural network (DAN2)1Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation118Mapping pareto fronts for efficient multi-objective materials discovery29The rise of self-driving labs in chemical and materials sciences570How to build an effective self-driving laboratory15Accelerating the Design of Self-Guided Microrobots in Time-Varying Magnetic Fields29Artificial intelligence for science and engineering: A priority for public investment in research and development2Eroom’s Law and the decline in the productivity of biopharmaceutical R&D0High-performance computing leadership to enable advances in artificial intelligence and a thriving compute ecosystem0Interpretability: Should – and can – we understand the reasoning of machine-learning systems?0Lessons from shortcomings in machine learning for medical imaging1Preface0Quantifying the “cognitive extent” of science and how it has changed over time and across countries0The end of Moore’s Law? Innovation in computer systems continues at a high pace0Robotic Modules for the Programmable Chemputation of Molecules and Materials38Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties15Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept3In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science99High-Accuracy Injection Using a Mobile Manipulation Robot for Chemistry Lab Automation11Curiosity-driven AI for Science : Automated Discovery of Self-Organized Structures0Endless minds most beautiful : building open-ended linguistic autotelic agents with deep reinforcement learning and language models0Machine culture123Flexible formulation of value for experiment interpretation and design6Role of spinal sensorimotor circuits in triphasic command: a simulation approach using Goal Exploration Process0Machine learning for hypothesis generation in biology and medicine: exploring the latent space of neuroscience and developmental bioelectricity17Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept93Smart Synergy: Harnessing Machine Learning for Advanced Nanotechnology in Healthcare0Anniversary AI reflections12Machine Learning in Soft Matter: From Simulations to Experiments34AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks3AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks1Clover: An unbiased method for prioritizing differentially expressed genes using a data‐driven approach3AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks2Curiosity-driven search for novel nonequilibrium behaviors5Self-Driving Laboratories for Chemistry and Materials Science674AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks1Towards next-gen smart manufacturing systems: the explainability revolution27Revolutionizing supramolecular materials design with artificial intelligence12Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation3AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks9AI‐Driven Robot Enables Synthesis‐Property Relation Prediction for Metal Halide Perovskites in Humid Atmosphere19Steering towards safe self-driving laboratories41AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management31Benchmarking self-driving labs13Combinatorial to autonomous experimentation0Molecular Design with Artificial Intelligence: Progress and Perspectives for Small Molecules6Role of spinal sensorimotor circuits in triphasic muscle command: a simulation approach using goal exploration process0ChemGrasp: affordance-aware dexterous grasping for laboratory automation0Toward autonomous experimentation: Bayesian optimization over problem formulation space for accelerated alloy development0Development of an automated evaluation system for the process-structure-property relationship of structural metallic materials towards autonomous exploration0

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  1. Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems

    arXiv (Cornell University) · 2019-08-19

    Chris Reinke, Mayalen Etcheverry, Pierre‐Yves Oudeyer

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  2. Designing peptide nanoparticles for efficient brain delivery

    Advanced Drug Delivery Reviews · 2020-01-01

    Aroa Duro‐Castaño, Diana M. Leite, Joe Forth, Yangwei Deng, Diana Matias, Carlos Noble-Jesus, Giuseppe Battaglia

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  3. Pushing property limits in materials discovery via boundless objective-free exploration

    Chemical Science · 2020-01-01

    Kei Terayama, Masato Sumita, Ryo Tamura, Daniel T. Payne, Mandeep Kaur Chahal, Shinsuke Ishihara, Koji Tsuda

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  4. Materials Acceleration Platforms: On the way to autonomous experimentation

    Current Opinion in Green and Sustainable Chemistry · 2020-06-18

    Martha M. Flores‐Leonar, L.M. Mejía-Mendoza, Andrés Aguilar‐Granda, Benjamín Sánchez-Lengeling, Hermann Tribukait, Carlos Amador‐Bedolla, Alán Aspuru‐Guzik

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  5. Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems

    arXiv (Cornell University) · 2020-07-02

    Mayalen Etcheverry, Clément Moulin-Frier, Pierre‐Yves Oudeyer

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  6. Elevating Chemistry Research with a Modern Electronics Toolkit

    Chemical Reviews · 2020-07-27

    Gurpur Rakesh D. Prabhu, Pawel Lukasz Urban

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  7. Digitizing Chemistry Using the Chemical Processing Unit: From Synthesis to Discovery

    Accounts of Chemical Research · 2020-12-28

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  8. Golem: an algorithm for robust experiment and process optimization

    Chemical Science · 2021-01-01

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  9. Automated robotic platforms in design and development of formulations

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  10. Advancing the Pareto front for thin-film materials using a self-driving laboratory

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  11. Nanoparticle synthesis assisted by machine learning

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  12. Autonomous experimentation systems for materials development: A community perspective

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  13. Accelerate Synthesis of Metal–Organic Frameworks by a Robotic Platform and Bayesian Optimization

    ACS Applied Materials & Interfaces · 2021-10-28

    Yunchao Xie, Chi Zhang, Heng Deng, Bujingda Zheng, Jheng‐Wun Su, Kenyon Shutt, Jian Lin

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  14. Self-Propelled Chemical Garden Tubes

    The Journal of Physical Chemistry B · 2021-12-15

    Qingpu Wang, Pamela Knoll, Oliver Steinbock

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  15. [Retracted] Machine Learning Algorithms Are Applied in Nanomaterial Properties for Nanosecurity

    Journal of Nanomaterials · 2022-01-01

    K. R. K. V. Prasad, Veeranki Srinivasa Rao, P. Harini, Ratna Raju Mukiri, K. Ravindra, D. Vijaya Kumar, Ramachandran Kasirajan

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  16. A self-driving laboratory advances the Pareto front for material properties

    Nature Communications · 2022-02-22

    Benjamin P. MacLeod, Fraser G. L. Parlane, Connor C. Rupnow, Kevan E. Dettelbach, Michael S. Elliott, Thomas D. Morrissey, Ted H. Haley, Oleksii Proskurin, Michael B. Rooney, Nina Taherimakhsousi, David Dvořák, Hsi Nien Chiu, Christopher E. B. Waizenegger, Karry Ocean, Mehrdad Mokhtari, Curtis P. Berlinguette

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  17. Data-Driven Design and Autonomous Experimentation in Soft and Biological Materials Engineering

    Annual Review of Chemical and Biomolecular Engineering · 2022-03-02

    Andrew L. Ferguson, Keith A. Brown

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  18. The Role of Progress-Based Intrinsic Motivation in Learning : Evidence from Human Behavior and Future Directions

    Unknown journal · 2022-04-19

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  19. Curiosity-Driven Exploration

    Cambridge University Press eBooks · 2022-05-19

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  20. The Drive for Knowledge

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  21. Lessons for Robotics From the Control Architecture of the Octopus

    Frontiers in Robotics and AI · 2022-07-18

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  22. Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models

    ChemRxiv · 2022-07-19

    Venkateswaran Shekar, Vincent Yu, Benjamin J. Garcia, David Benjamin Gordon, Gemma E. Moran, David M. Blei, Loı̈c M. Roch, Alberto García-Durán, Mansoor Ani Najeeb, Margaret Zeile, Philip W. Nega, Zhi Li, Mina A. Kim, Emory M. Chan, Alexander J. Norquist, Sorelle A. Friedler, Joshua Schrier

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  23. Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models

    ChemRxiv · 2022-07-20

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  24. Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery

    Unknown journal · 2022-09-27

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  25. Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery

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  26. An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials

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  27. On scientific understanding with artificial intelligence

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  28. Heuristic optimisation of multi-task dynamic architecture neural network (DAN2)

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  29. Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation

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  30. Mapping pareto fronts for efficient multi-objective materials discovery

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

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  32. How to build an effective self-driving laboratory

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  33. Accelerating the Design of Self-Guided Microrobots in Time-Varying Magnetic Fields

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  34. Artificial intelligence for science and engineering: A priority for public investment in research and development

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  35. Eroom’s Law and the decline in the productivity of biopharmaceutical R&D

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  36. High-performance computing leadership to enable advances in artificial intelligence and a thriving compute ecosystem

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  37. Interpretability: Should – and can – we understand the reasoning of machine-learning systems?

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  38. Lessons from shortcomings in machine learning for medical imaging

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  39. Preface

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  40. Quantifying the “cognitive extent” of science and how it has changed over time and across countries

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  41. The end of Moore’s Law? Innovation in computer systems continues at a high pace

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  42. Robotic Modules for the Programmable Chemputation of Molecules and Materials

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  43. Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties

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  44. Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept

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  45. In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science

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  46. High-Accuracy Injection Using a Mobile Manipulation Robot for Chemistry Lab Automation

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2023-10-01

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  47. Curiosity-driven AI for Science : Automated Discovery of Self-Organized Structures

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  48. Endless minds most beautiful : building open-ended linguistic autotelic agents with deep reinforcement learning and language models

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  49. Machine culture

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  50. Flexible formulation of value for experiment interpretation and design

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