BetaCitation Atlas

RESEARCH PAPER · Progress in Materials Science · 2022

Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation

Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin

Read original paper ↗

See where this research leads.

118 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Toward autonomous laboratories: Convergence of artificial intelligence and experimental automationOriginalA scientific machine learning framework to understand flash graphene synthesis24What is missing in autonomous discovery: open challenges for the community44Accelerated Electrosynthesis Development Enabled by High-Throughput Experimentation11Training a robotic arm to estimate the weight of a suspended object6Applications of machine learning in supercritical fluids research47Flexible Laboratory Automation System Based on Distributed Framework: Implementation for Press Process in Polymer Materials Development2Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept3Impact of noise on inverse design: the case of NMR spectra matching11Chemical Species Ontology for Data Integration and Knowledge Discovery38Application of Digital Methods in Polymer Science and Engineering28Physics Constrained Multi-objective Bayesian Optimization to Accelerate 3D Printing of Thermoplastics19Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation49Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap7Recent advancements in laboratory automation technology and their impact on scientific research and laboratory procedures6An interpretable and transferrable vision transformer model for rapid materials spectra classification27AlabOS: a Python-based reconfigurable workflow management framework for autonomous laboratories33De novo molecule design towards biased properties via a deep generative framework and iterative transfer learning8Physics Constrained Multi-Objective Bayesian Optimization to Accelerate 3d Printing of Thermoplastics1Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplastic10Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning10Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept93Robotic Automation System of Polymer Press Process for Materials Lab-Automation4Acceleration of optimizing the dielectric properties of (Ca 0.7 Nd 0.2 ) 1− x (Li 0.5 Nd 0.5 ) x Ti 1− y (Mg 1/3 Nb 2/3 ) y O 3 with the aid of machine learning9Machine Learning to Access and Ensure Safe Drinking Water Supply: A Systematic Review6Transforming research laboratories with connected digital twins19High-throughput automated membrane reactor system: The case of CO2/bicarbonate electroreduction4Cutting Edge High‐Throughput Synthesis and Characterization Techniques in Combinatorial Materials Science19Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction25Spatially resolved lock-in micro-thermography (SR-LIT): A tensor analysis-enhanced method for anisotropic thermal characterization14Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries15Patent Analysis in the Realm of Machine Learning in Manufacturing0Protocol for creating representations of molecular structures using a polymer-specific decoder0Recent progress on surface chemistry I: Assembly and reaction67Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design *27Recent progress on surface chemistry II: Property and characterization58Revolutionizing Research Methodologies: The Emergence of Research 5.0 through AI, Automation, and Blockchain0Computational and Machine Learning Methods for CO 2 Capture Using Metal–Organic Frameworks74From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks91Machine learning to assess and support safe drinking water supply: a systematic review22Synthesis Strategies for High Entropy Nanoparticles93Predicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization32Accurate and Efficient Structure Elucidation from Routine One-Dimensional NMR Spectra Using Multitask Machine Learning59Automation of polymer pressing by robotic handling with in-process parameter optimization4AI-driven 3D bioprinting for regenerative medicine: From bench to bedside101Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility17Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation3From synthesis to properties: expanding the horizons of machine learning in nanomaterials research39RedCat, an automated discovery workflow for aqueous organic electrolytes4SANE: strategic autonomous non-smooth exploration for multiple optima discovery in multi-modal and non-differentiable black-box functions4Thermomechanical Assessment of Sports Facilities and Equipment Using Thermography and Artificial Intelligence0AutoMEX: Streamlining material extrusion with AI agents powered by large language models and knowledge graphs24Artificial Intelligence Meets Laboratory Automation in Discovery and Synthesis of Metal–Organic Frameworks: A Review41Comprehensive Screening of Conditions for Block Copolymer Nanoaggregate Formation via Automated DLS2Fully Automated Deep Learning Enabled Miniature Mass Spectrometry System for Psychoactive Therapeutic Drug Monitoring3Searching for materials for next-generation on-chip interconnects4Data-driven approaches for autonomous experimentation: Insights into modeling and prediction dynamics of metal–organic frameworks synthesis0Reaching new frontiers in nanoelectronics through artificial intelligence4AI-driven new materials development and data standardization4The convergence of AI and synthetic biology: the looming deluge55Machine‐learning‐assisted photonic device development: a multiscale approach from theory to characterization19Design of Tough 3D Printable Elastomers with Human‐in‐the‐Loop Reinforcement Learning1Design of Tough 3D Printable Elastomers with Human‐in‐the‐Loop Reinforcement Learning8Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective14Machine learning in polymer science: A new lens for physical and chemical exploration35Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data*4Engineering crop flower morphology facilitates robotization of cross-pollination and speed breeding35Recent Progress in Autonomous Laboratories for Chemical Synthesis4Advancing Organic Chemistry Using High‐Throughput Experimentation26Advancing Organic Chemistry Using High‐Throughput Experimentation7AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management31ADVANCED FABRICATION AND CHARACTERIZATION OF SILVER NANOPARTICLES USING AI TECHNIQUES4How Machine Learning Has Driven the Development of Rechargeable Ion Batteries21Automating quantum computing laboratory experiments with an agent-based AI framework18Precision Medicine: The Road to In Vivo Synthetic Therapeutic Agent2Building an affordable self-driving lab: Practical machine learning experiments for physics education using Internet-of-Things1Ensemble Learning for Comprehensive Hardness Prediction of High-Entropy Alloys1Dynamic catalysts and the digital age: Synthetic consequences2Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework10Accelerated discovery of multinary chalcogenide quantum dots: combining aqueous chemistry with high-throughput experimentation and machine learning3FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction3A hybrid method based on particle swarm optimization and machine learning algorithm for predicting droplet diameter in a microfluidic T-junction0A vision for mechanical and chemical engineering in 20500Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation0Artificial intelligence and machine learning for plasmonic and surface-enhanced sensing37Can we automate scientific reasoning in closed-loop experiments using large language models?4Enabling knowledge discovery from data0GEMS: a deterministic finite automaton framework for adaptive laboratory automation0PyMESpec: a Python toolbox for automated modulation excitation spectroscopic data analysis and transient experiments0Microstructural engineering of zinc anodes: Expediting the fabrication and industrial-scale deployment of high-performance batteries4Materials Informatics: Emergence to Autonomous Discovery in the Age of AI15Integrating artificial intelligence with electrochemical science for advanced energy storage9High-fidelity morphology prediction for internal modification by pulsed laser utilizing attention guidance mechanism based on physical priors0Machine Learning as a Catalyst in Advanced Materials Research and Development0The ADePT framework for assessing autonomous laboratory robotics8Machine-Learning-Guided Discovery and Statistical Analysis of Multielemental Reverse Water–Gas Shift Catalysts1Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows5Denoising diffusion probabilistic model-based tabular data augmentation for improved phase classification of high-entropy alloys2Experimental mechanician for plate lattice metamaterial discovery1Accelerate Flash Removal of PFAS from Soil by Human-Guided Bayesian Optimization and Interpretable Machine Learning12026 Roadmap on compositionally complex and high entropy materials for energy applications5Data-driven approaches for functional ceramics3Biodesign x AI: Interactions in the Algorithmic Wet Lab1From Programming to Crystal Growth: High-Throughput Exploration of 3d–4f Cluster Synthesis Conditions–A Laboratory Experiment for First Year Undergraduates0Rebellious AI can be controlled by submissive AI: an overview of background, identifying major problems, and taxonomizing possible solutions0Convenience AI0Materials by machines: A review on intuition and knowledge-driven learning for rapid discovery and optimization0Self-evolving experimental platform for 3D sand printing2Data-Driven Engineering of Antimicrobial Nanomaterials for Food Safety and Biomedical Systems8Self-Driving Scanning Probe Microscopy: From Acceleration to Discovery and Manipulation3Comparative assessment of dilute alloys and complex concentrated alloys: Design principles, processing, mechanisms, properties, and sustainability0Autonomous laboratories for sustainable nanomaterials discovery0Artificial intelligence for carbon materials in electrochemical energy storage: Methods, applications, and perspectives0A review on the discovery and design of biodegradable alloys accelerated by machine learning0Navigating regulatory fragmentation in the convergence of synthetic biology, artificial intelligence, and automation1Integration of Artificial Intelligence and Microfluidics for Drug Delivery Applications0Investigación científica en la era de la inteligencia artificial0Advanced engineering of inorganic semiconductor nanowires: Materials-by-design for next-generation green energy technologies0The artificial intelligence-empowered electrolyte innovations: emerging polymer electrolyte for rechargeable batteries0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

118 direct citing papers saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. A scientific machine learning framework to understand flash graphene synthesis

    Digital Discovery · 2023-01-01

    Kianoosh Sattari, Lucas Eddy, Jacob L. Beckham, Kevin M. Wyss, Richard Byfield, Long Qian, James M. Tour, Jian Lin

    Read original paper ↗ ·

  2. What is missing in autonomous discovery: open challenges for the community

    Digital Discovery · 2023-01-01

    Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben J. Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion Cohen, Rebecca L. Davis, Ian T Foster, Navid Haghmoradi, Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi, Shijing Sun

    Read original paper ↗ ·

  3. Accelerated Electrosynthesis Development Enabled by High-Throughput Experimentation

    Synthesis · 2023-04-12

    Yiming Mo, Huijie Chen

    Read original paper ↗ ·

  4. Training a robotic arm to estimate the weight of a suspended object

    Device · 2023-07-01

    Fan Yang, Jason E. Hein

    Read original paper ↗ ·

  5. Applications of machine learning in supercritical fluids research

    The Journal of Supercritical Fluids · 2023-07-25

    Lucien Roach, Gian‐Marco Rignanese, Arnaud Erriguible, Cyril Aymonier

    Read original paper ↗ ·

  6. Flexible Laboratory Automation System Based on Distributed Framework: Implementation for Press Process in Polymer Materials Development

    2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) · 2023-08-26

    Yuki Asano, Satoru Yoneda, Koki Kitai, Kei Okada, Junichiro Shiomi

    Read original paper ↗ ·

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

    ChemRxiv · 2023-09-07

    Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Sergei V. Kalinin, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik

    Read original paper ↗ ·

  8. Impact of noise on inverse design: the case of NMR spectra matching

    Digital Discovery · 2023-10-17

    Dominik Lemm, Guido Falk von Rudorff, O. Anatole von Lilienfeld

    Read original paper ↗ ·

  9. Chemical Species Ontology for Data Integration and Knowledge Discovery

    Journal of Chemical Information and Modeling · 2023-10-26

    Laura Pascazio, Simon D. Rihm, Ali Naseri, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

    Read original paper ↗ ·

  10. Application of Digital Methods in Polymer Science and Engineering

    Advanced Functional Materials · 2023-10-27

    Timo Schuett, Patrick Endres, Tobias Standau, Stefan Zechel, Rodrigo Queiroz Albuquerque, Christian Brütting, Holger Ruckdäschel, Ulrich S. Schubert

    Read original paper ↗ ·

  11. Physics Constrained Multi-objective Bayesian Optimization to Accelerate 3D Printing of Thermoplastics

    Additive manufacturing · 2023-11-10

    Kianoosh Sattari, Yuchao Wu, Zhenru Chen, Alireza Mahjoubnia, Changhua Su, Jian Lin

    Read original paper ↗ ·

  12. Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation

    Journal of Energy Chemistry · 2023-11-23

    Tong Yu, Chunyang Wang, Huicong Yang, Feng Li

    Read original paper ↗ ·

  13. Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap

    Machine Learning Science and Technology · 2023-12-01

    Ryan M. Jacobs, Philip E. Goins, Dane D. Morgan

    Read original paper ↗ ·

  14. Recent advancements in laboratory automation technology and their impact on scientific research and laboratory procedures

    International Journal of Health Sciences · 2023-12-26

    Abdullah Omar Mohammed Omair, Abeer Mohammed Abdul Jabbar, Mustafa Othman Abdulrahman Albulushi

    Read original paper ↗ ·

  15. An interpretable and transferrable vision transformer model for rapid materials spectra classification

    Digital Discovery · 2023-12-29

    Zhenru Chen, Yunchao Xie, Yuchao Wu, Yuyi Lin, Shigetaka Tomiya, Jian Lin

    Read original paper ↗ ·

  16. AlabOS: a Python-based reconfigurable workflow management framework for autonomous laboratories

    Digital Discovery · 2024-01-01

    Yuxing Fei, Bernardus Rendy, Rishi E. Kumar, Olympia Dartsi, Hrushikesh P. Sahasrabuddhe, Matthew J. McDermott, Zheren Wang, Nathan J. Szymanski, Lauren N. Walters, David Milsted, Yan Zeng, Anubhav Jain, Gerbrand Ceder

    Read original paper ↗ ·

  17. De novo molecule design towards biased properties via a deep generative framework and iterative transfer learning

    Digital Discovery · 2024-01-01

    Kianoosh Sattari, Dawei Li, Bhupalee Kalita, Yunchao Xie, Fatemeh Barmaleki Lighvan, Olexandr Isayev, Jian Lin

    Read original paper ↗ ·

  18. Physics Constrained Multi-Objective Bayesian Optimization to Accelerate 3d Printing of Thermoplastics

    SSRN Electronic Journal · 2024-01-01

    Jian Lin, Kianoosh Sattari, Yuchao Wu, Zhenru Chen, Alireza Mahjoubnia, Changhua Su

    Read original paper ↗ ·

  19. Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplastic

    Materials Horizons · 2024-01-01

    Zhenru Chen, Yuchao Wu, Yunchao Xie, Kianoosh Sattari, Jian Lin

    Read original paper ↗ ·

  20. Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning

    IEEE Access · 2024-01-01

    Farhad Pourkamali‐Anaraki, Jamal F. Husseini, Scott Edward Stapleton

    Read original paper ↗ ·

  21. Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept

    Digital Discovery · 2024-01-01

    Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Nessa Carson, Ian T Foster, Andrés Aguilar‐Granda, Sergei V. Kalinin, Benji Maruyama, Maria Politi, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik

    Read original paper ↗ ·

  22. Robotic Automation System of Polymer Press Process for Materials Lab-Automation

    IEEE/SICE International Symposium on System Integration (SII) · 2024-01-08

    Yuki Asano, Kei Okada, Junichiro Shiomi

    Read original paper ↗ ·

  23. Acceleration of optimizing the dielectric properties of (Ca 0.7 Nd 0.2 ) 1− x (Li 0.5 Nd 0.5 ) x Ti 1− y (Mg 1/3 Nb 2/3 ) y O 3 with the aid of machine learning

    Journal of the American Ceramic Society · 2024-01-11

    Ziqi Ni, Fenglin Wang, Yeqing Guan, Kaijia Hu, Fengyuan Zhao, Xingyu Chen, Yicong Ye, Weijun Zhang, Shuxin Bai

    Read original paper ↗ ·

  24. Machine Learning to Access and Ensure Safe Drinking Water Supply: A Systematic Review

    ChemRxiv · 2024-01-23

    Feng Feng, Zhenru Chen, Jianyuan Ni, Yuanxun Zhang, Yuan Feng, Yunchao Xie, Chiqian Zhang

    Read original paper ↗ ·

  25. Transforming research laboratories with connected digital twins

    Nexus · 2024-02-05

    Simon D. Rihm, Jiaru Bai, Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

    Read original paper ↗ ·

  26. High-throughput automated membrane reactor system: The case of CO2/bicarbonate electroreduction

    Chemical Engineering and Processing - Process Intensification · 2024-02-27

    Andreu Bonet Navarro, Ricard Garcia‐Valls, Adrianna Nogalska

    Read original paper ↗ ·

  27. Cutting Edge High‐Throughput Synthesis and Characterization Techniques in Combinatorial Materials Science

    Advanced Materials Technologies · 2024-03-08

    Chao Tan, Haijuan Wu, Lei Yang, Zegao Wang

    Read original paper ↗ ·

  28. Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

    Catalysts · 2024-03-22

    Shifa Wang, Peilin Mo, Dengfeng Li, Asad Syed

    Read original paper ↗ ·

  29. Spatially resolved lock-in micro-thermography (SR-LIT): A tensor analysis-enhanced method for anisotropic thermal characterization

    Applied Physics Reviews · 2024-04-09

    Dihui Wang, Heng Ban, Puqing Jiang

    Read original paper ↗ ·

  30. Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries

    Applied Physics Reviews · 2024-04-12

    Xiaozhao Liu, Volodymyr A. Koverga, Thi Thu Hoai Nguyen, Anh T. Ngo, Tao Li

    Read original paper ↗ ·

  31. Patent Analysis in the Realm of Machine Learning in Manufacturing

    Sosyal Bilimler Metinleri · 2024-04-29

    Murat Akkalender, Haydar Yalçın

    Read original paper ↗ ·

  32. Protocol for creating representations of molecular structures using a polymer-specific decoder

    STAR Protocols · 2024-05-02

    Yannik Köster, Julian Kimmig, Stefan Zechel, Ulrich S. Schubert

    Read original paper ↗ ·

  33. Recent progress on surface chemistry I: Assembly and reaction

    Chinese Chemical Letters · 2024-05-27

    Xin Li, Zhen Hua Xu, Donglei Bu, Jinming Cai, Huamei Chen, Qi Chen, Ting Chen, Fang Cheng, Lifeng Chi, Wenjie Dong, Zhenchao Dong, Shixuan Du, Qitang Fan, Xing He Fan, Qiang Fu, Song Gao, Jing Fu Guo, Weijun Guo, Yang He, Shimin Hou, Ying Lan Jiang, Huihui Kong, Baojun Li, Deng‐Yuan Li, Jie Li, Qing Li, Ruoning Li, Shuying Li, Yuxuan Lin, Mengxi Liu, Pei Nian Liu, Yanyan Liu, Jing‐Tao Lü, Chuanxu Ma, Haoyang Pan, JinLiang Pan, Minghu Pan, Xiaohui Qiu, Ziyong Shen, Shijing Tan, Bing Wang, Dong Wang, Li Wang, Lili Wang, Tao Wang, Xiang Wang, Xingyue Wang, Xueyan Wang, Yansong Wang, Yu Wang, Kai Ming Wu, Wei Xu, Na Xue, Linghao Yan, Fan Yang, Zhiyong Yang, Chi Zhang, Xue Zhang, Yang Zhang, Yao Zhang, Xiong Zhou, Junfa Zhu, Yajie Zhang, Feixue Gao, Yongfeng Wang

    Read original paper ↗ ·

  34. Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design *

    Machine Learning Science and Technology · 2024-05-31

    Yongtao Liu, Martí Checa, Rama Krishnan Vasudevan

    Read original paper ↗ ·

  35. Recent progress on surface chemistry II: Property and characterization

    Chinese Chemical Letters · 2024-06-08

    Xin Li, Zhen Xu, Donglei Bu, Jinming Cai, Huamei Chen, Qi Chen, Ting Chen, Fang Cheng, Lifeng Chi, Wenjie Dong, Zhen‐Chao Dong, Shixuan Du, Qitang Fan, Xing Ping Fan, Qiang Fu, Song Gao, Jing Guo, Weijun Guo, He Yang, Shimin Hou, Ying Lan Jiang, Huihui Kong, Baojun Li, Deng‐Yuan Li, Jie Li, Qing Feng Li, Ruoning Li, Shuying Li, Yuxuan Lin, Mengxi Liu, Pei Nian Liu, Yanyan Liu, Jing‐Tao Lü, Chuanxu Ma, Haoyang Pan, JinLiang Pan, Minghu Pan, Xiaohui Qiu, Ziyong Shen, Qiang Sun, Shijing Tan, Bing Wang, Dong Wang, Li Wang, Lili Wang, Tao Wang, Xiang Wang, Xingyue Wang, Xueyan Wang, Yansong Wang, Yu Wang, Kai Ming Wu, Wei Xu, Na Xue, Linghao Yan, Fan Yang, Zhiyong Yang, Chi Zhang, Xue Zhang, Yang Zhang, Yao Zhang, Xiong Zhou, Junfa Zhu, Yajie Zhang, Feixue Gao, Yongfeng Wang

    Read original paper ↗ ·

  36. Revolutionizing Research Methodologies: The Emergence of Research 5.0 through AI, Automation, and Blockchain

    International Journal For Multidisciplinary Research · 2024-08-15

    Rachid Ejjami -

    Read original paper ↗ ·

  37. Computational and Machine Learning Methods for CO 2 Capture Using Metal–Organic Frameworks

    ACS Nano · 2024-08-22

    Hossein Mashhadimoslem, Mohammad Ali Abdol, Peyman Karimi, Kourosh E. Zanganeh, Ahmed Shafeen, Ali Elkamel, Milad Kamkar

    Read original paper ↗ ·

  38. From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks

    JACS Au · 2024-09-12

    Junkil Park, Honghui Kim, Yeonghun Kang, Yunsung Lim, Jihan Kim

    Read original paper ↗ ·

  39. Machine learning to assess and support safe drinking water supply: a systematic review

    Journal of environmental chemical engineering · 2024-10-30

    Feng Feng, Yuanxun Zhang, Yuanxun Zhang, Zhenru Chen, Jianyuan Ni, Yuan Feng, Yunchao Xie, Chiqian Zhang

    Read original paper ↗ ·

  40. Synthesis Strategies for High Entropy Nanoparticles

    Advanced Materials · 2024-10-30

    Linlin Yang, Ren He, Jiali Chai, Xueqiang Qi, Qian Xue, Xiaoyu Bi, Jing Yu, Zixu Sun, Lu Xia, Kaiwen Wang, Nilotpal Kapuria, Junshan Li, Ahmad Ostovari Moghaddam, Andreu Cabot

    Read original paper ↗ ·

  41. Predicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization

    Nano Letters · 2024-11-12

    Christopher C. Price, Yansong Li, Guanyu Zhou, Rehan Younas, Spencer S. Zeng, Tim H. Scanlon, Jason M. Munro, Christopher L. Hinkle

    Read original paper ↗ ·

  42. Accurate and Efficient Structure Elucidation from Routine One-Dimensional NMR Spectra Using Multitask Machine Learning

    ACS Central Science · 2024-11-13

    Frank Hu, Michael S. Chen, Grant M. Rotskoff, Matthew W. Kanan, Thomas E. Markland

    Read original paper ↗ ·

  43. Automation of polymer pressing by robotic handling with in-process parameter optimization

    Robotics and Autonomous Systems · 2024-11-21

    Yuki Asano, Kei Okada, Shintaro Nakagawa, Naoko Yoshie, Junichiro Shiomi

    Read original paper ↗ ·

  44. AI-driven 3D bioprinting for regenerative medicine: From bench to bedside

    Bioactive Materials · 2024-11-23

    Zhenrui Zhang, Xianhao Zhou, Yongcong Fang, Zhuo Xiong, Ting Zhang

    Read original paper ↗ ·

  45. Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility

    Machine Learning Science and Technology · 2024-12-01

    Ryan M. Jacobs, Lane E. Schultz, Aristana Scourtas, K. J. Schmidt, Owen Price-Skelly, Will Engler, Ian T Foster, Ben J. Blaiszik, Paul M. Voyles, Dane D. Morgan

    Read original paper ↗ ·

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

    Langmuir · 2024-12-30

    M. C. Ekosso, Hao Liu, Avery Glagovich, Dustin Nguyen, Sarah Maurer, Joshua Schrier

    Read original paper ↗ ·

  47. From synthesis to properties: expanding the horizons of machine learning in nanomaterials research

    Materials Horizons · 2025-01-01

    Shanhui Diao, Qiong Wu, Shimei Li, Gang Xu, Xiangling Ren, Longfei Tan, Guihua Jiang, Peng Song, Xianwei Meng

    Read original paper ↗ ·

  48. RedCat, an automated discovery workflow for aqueous organic electrolytes

    Digital Discovery · 2025-01-01

    Murat Cihan Sorkun, Xuan Zhou, Joannes Murigneux, Nicola Menegazzo, Ayush Kumar Narsaria, David Thanoon, Peter A. A. Klusener, Kaustubh Kaluskar, Sharan G. Shetty, Efstathios Barmpoutsis, Süleyman Er

    Read original paper ↗ ·

  49. SANE: strategic autonomous non-smooth exploration for multiple optima discovery in multi-modal and non-differentiable black-box functions

    Digital Discovery · 2025-01-01

    Arpan Biswas, Rama Krishnan Vasudevan, Rohit Kumar Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu

    Read original paper ↗ ·

  50. Thermomechanical Assessment of Sports Facilities and Equipment Using Thermography and Artificial Intelligence

    Springer eBooks · 2025-01-01

    Consuelo Latorre-Sánchez, Rafael Mengual Ortolá, Ricard Barberá i Guillem, Sonia Gimeno Peña, Juan García

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.