Papers citing High-throughput experimentation meets artificial intelligence: a new pathway to catalyst discovery
Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: Paradigms, applications and prospects
Chemosphere · 2022
Wentao Zhang, Wenguang Huang, Jie Tan, Qingwei Guo, Bingdang Wu
Read original paper ↗ ·Roadmap on chalcogenide photonics
Journal of Physics Photonics · 2022
Behrad Gholipour, Stephen R. Elliott, Maximilian J. Müller, Matthias Wuttig, Daniel William Hewak, Brian E. Hayden, Yifei Li, Seong Soon Jo, R. Jaramillo, Robert Edward Simpson, Junji Tominaga, Yihao Cui, Avik Mandal, Benjamin J. Eggleton, Martin Rochette, Mohsen Rezaei, Imtiaz Alamgir, Hosne Mobarok Shamim, Robi Kormokar, Arslan Anjum, Gebrehiwot Tesfay Zeweldi, Tushar Sanjay Karnik, Juejun Hu, Safa O Kasap, George S. Belev, Alla Reznik
Read original paper ↗ ·Intelligent end-of-pipe catalytic systems suited for alternative fuels
Venue not supplied by source · 2022
Yuanshuang Zheng
Read original paper ↗ ·Materials discovery of ion-selective membranes using artificial intelligence
Communications Chemistry · 2022
Reza Maleki, Seyed Mohammadreza Shams, Yasin Mehdizadeh Chellehbari, Sima Rezvantalab, Ahmad Miri Jahromi, Mohsen Asadnia, Rouzbeh Abbassi, Tejraj Malleshappa Aminabhavi, Amir Razmjou
Read original paper ↗ ·Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Progress in Materials Science · 2022
Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin
Read original paper ↗ ·High-Throughput Experimentation for Resource-Efficient Discovery of Methane Functionalization Catalysts
ACS symposium series · 2022
Orion Staples, Jacob S. Mohar, Daniel J. Mindiola
Read original paper ↗ ·A deep neural network for oxidative coupling of methane trained on high-throughput experimental data
Journal of Physics Energy · 2022
Klea Ziu, Rubén Solozabal, Srinivas Rangarajan, Martin Takáč
Read original paper ↗ ·Thermocatalytic Ammonia Decomposition – Status and Current Research Demands for a Carbon‐Free Hydrogen Fuel Technology
ChemCatChem · 2022
Stefan Peters, Ali Mohamed Abdel-Mageed, Sebastian Wohlrab
Read original paper ↗ ·A modular low-cost automated synthesis machine demonstrated by ring-opening metathesis polymerization
Reaction Chemistry & Engineering · 2023
Jakob Rørbæk Saugbjerg, Thorbjørn Bøgh Jensen, Mogens Hinge, Martin Lahn Henriksen
Read original paper ↗ ·Determination of enantiomeric excess and diastereomeric excess via optical methods. Application to α-methyl-β-hydroxy-carboxylic acids
Organic Chemistry Frontiers · 2023
Sarah R. Moor, James R. Howard, Brenden T. Herrera, Matthew McVeigh, Federico Marini, Adrian T. Keatinge‐Clay, Eric V. Anslyn
Read original paper ↗ ·Nanogel Catalysts for the Hydrolysis of Underivatized Disaccharides Identified by a Fast Screening Assay
ACS Catalysis · 2023
Babloo Sharma, Susanne Striegler
Read original paper ↗ ·High-Throughput Experimentation, Theoretical Modeling, and Human Intuition: Lessons Learned in Metal–Organic-Framework-Supported Catalyst Design
ACS Central Science · 2023
Katherine E. McCullough, Daniel S. King, Saumil P. Chheda, Magali S. Ferrandon, Timothy A. Goetjen, Zoha H. Syed, Trent R. Graham, Nancy Washton, Omar K. Farha, Laura Gagliardi, Massimiliano Delferro
Read original paper ↗ ·Data-Centric Heterogeneous Catalysis: Identifying Rules and Materials Genes of Alkane Selective Oxidation
Journal of the American Chemical Society · 2023
Lucas Foppa, Frederik Rüther, Michael Geske, Gregor Koch, Frank Girgsdies, Pierre Kube, Spencer J. Carey, Michael Hävecker, Olaf Timpe, Andrey Tarasov, Matthias Scheffler, Frank Rosowski, Robert Schlögl, Annette Trunschke
Read original paper ↗ ·Rational design of high-entropy ceramics based on machine learning – A critical review
Current Opinion in Solid State and Materials Science · 2023
Jun Zhang, Xuepeng Xiang, Biao Xu, Shasha Huang, Yaoxu Xiong, Shihua Ma, Haijun Fu, Yi Ma, Hongyu Chen, Zhenggang Wu, Shijun Zhao
Read original paper ↗ ·Machine learning-aided characterization of microbubbles for venturi bubble generator
Chemical Engineering Journal · 2023
Jian Ruan, Hang Zhou, Zhiming Ding, Yaheng Zhang, Luhaibo Zhao, Jie Zhang, Zhiyong Tang
Read original paper ↗ ·Recent advances in ammonia synthesis over ruthenium single-atom-embedded catalysts: A focused review
Chemical Engineering Journal · 2023
Seyed Majid Ghoreishian, Kaveh Shariati, Yun Suk Huh, Jochen A. Lauterbach
Read original paper ↗ ·Review on Ru-Based and Ni-Based Catalysts for Ammonia Decomposition: Research Status, Reaction Mechanism, and Perspectives
Energy & Fuels · 2023
Tianxu Su, Bin Guan, Jiefei Zhou, Chunzheng Zheng, Jiangfeng Guo, Junyan Chen, Yaoyao Zhang, Yuheng Yuan, Wenkai Xie, Nanxin Zhou, Hongtao Dang, Bingyu Xu, Zhen Yu Huang
Read original paper ↗ ·Developing Machine Learning Models for Catalysts in Oxidative Dehydrogenation of n‐butane
ChemCatChem · 2023
Gazali Tanimu, Jimoh Olawale Ajadi, Yussif Yahaya, Hassan Saeed Alasiri, Nurudeen Adedayo Adegoke
Read original paper ↗ ·Research Status, Optimization Strategies, and Future Prospects of Ammonia Decomposition Catalysts for COx-Free Hydrogen
Industrial & Engineering Chemistry Research · 2023
Chunzheng Zheng, Bin Guan, Jiangfeng Guo, Tianxu Su, Jiefei Zhou, Junyan Chen, Yaoyao Zhang, Yuheng Yuan, Wenkai Xie, Nanxin Zhou, Zhen Yu Huang
Read original paper ↗ ·AI-Driven Copilot: Revolutionizing Scientific Discovery and Innovation through Self-Learning Systems
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2023
Subhasis Kundu
Read original paper ↗ ·Biomass Gasification and Applied Intelligent Retrieval in Modeling
Energies · 2023
Manish Meena, Hrishikesh Kumar, Nitin Dutt Chaturvedi, А.A. Kovalev, Vadim E. Bolshev, Dmitriy Kovalev, Prakash Kumar Sarangi, Aakash Chawade, Manish Singh Rajput, Vivekanand Vivekanand, Владимир Панченко
Read original paper ↗ ·Catalyst‐Oriented Design Based on Elementary Reactions (CODER) for Triarylamine Synthesis
Angewandte Chemie International Edition · 2023
Huawei Liu, Peng He, Wentao Li, Wei Feng Sun, Kai Shi, Youqin Wang, Qian‐Kun Mo, Xin‐Yu Zhang, Shou‐Fei Zhu
Read original paper ↗ ·Catalyst‐Oriented Design Based on Elementary Reactions (CODER) for Triarylamine Synthesis
Angewandte Chemie · 2023
Huawei Liu, Peng He, Wentao Li, Wei Feng Sun, Kai Shi, Youqin Wang, Qian‐Kun Mo, Xinyu Zhang, Shou‐Fei Zhu
Read original paper ↗ ·Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach
Nature Communications · 2023
Gang Wang, Shinya Mine, Duotian Chen, Yuan Jing, Kah Wei Ting, Taichi Yamaguchi, Motoshi Takao, Zen Maeno, Ichigaku Takigawa, Koichi Matsushita, Ken‐ichi Shimizu, Takashi Toyao
Read original paper ↗ ·Machine Learning Accelerated Discovery of Subnanoparticles for Electrocatalytic Hydrogen Evolution
Chemistry Letters · 2023
Quan Zou, Akiyoshi Kuzume, Masataka Yoshida, Takane Imaoka, Kimihisa Yamamoto
Read original paper ↗ ·Prediction by a hybrid machine learning model for high-mobility amorphous In2O3: Sn films fabricated by RF plasma sputtering deposition using a nitrogen-mediated amorphization method
Journal of Applied Physics · 2023
Kunihiro Kamataki, Hirohi Ohtomo, Naho Itagaki, Chawarambawa Fadzai Lesly, Daisuke Yamashita, Takamasa Okumura, Naoto Yamashita, Kazunori Koga, Masaharu Shiratani
Read original paper ↗ ·Single‐Atom Heterogeneous Catalysts: Human‐ and AI‐Driven Platform for Augmented Designs, Analytics and Reality‐Enabled Manufacturing
Angewandte Chemie International Edition · 2023
Lei Cheng, Yawen Tang, Kostya Ostrikov, Quanjun Xiang
Read original paper ↗ ·Single‐Atom Heterogeneous Catalysts: Human‐ and AI‐Driven Platform for Augmented Designs, Analytics and Reality‐Enabled Manufacturing
Angewandte Chemie · 2023
Lei Cheng, Yawen Tang, Kostya Ostrikov, Quanjun Xiang
Read original paper ↗ ·Fault Diagnosis of On-board Signaling Equipment Based on Bayesian Network
Venue not supplied by source · 2023
Lizi Zhang, Heng Wan, Weijie Ma
Read original paper ↗ ·A review of mechanistic insights into CO2 reduction to higher alcohols for rational catalyst design
Applied Catalysis B: Environmental · 2023
Yao Sheng, Mikhail V. Polynski, Mathan Kumar Eswaran, Bikun Zhang, Alvin M. H. Lim, Lili Zhang, Jianwen Jiang, Wen Liu, Sergey M. Kozlov
Read original paper ↗ ·Data-driven Model Construction
Royal Society of Chemistry eBooks · 2023
Zhaoyan Zhang, Dongda Zhang, Ehecatl Antonio del Rio‐Chanona
Read original paper ↗ ·Part I: Model Construction Theory
Royal Society of Chemistry eBooks · 2023
Read original paper ↗ ·Overview of Applications of Artificial Intelligence (AI) in Diverse Fields
Springer eBooks · 2024
Nikki Kuhar, Poonam Kumria, Swati Rani
Read original paper ↗ ·Accelerated exploration of heterogeneous CO2 hydrogenation catalysts by Bayesian-optimized high-throughput and automated experimentation
Chem Catalysis · 2024
Adrián Ramírez, Erwin Lam, Daniel Pacheco Gutiérrez, Yuhui Hou, Hermann Tribukait, Loı̈c M. Roch, Christophe Copéret, Paco V. Laveille
Read original paper ↗ ·AI methods in materials design, discovery and manufacturing: A review
Computational Materials Science · 2024
Ioannis Papadimitriou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Yiannis Kompatsiaris
Read original paper ↗ ·Recent progress of thermocatalytic ammonia synthesis via an associative mechanism
Fundamental Research · 2024
Yangyu Zhang, Jiaxin Li, Yanliang Zhou, Chak‐Tong Au, Xiuyun Wang, Lilong Jiang
Read original paper ↗ ·Machine learning for catalyst design: data matters
Research Square · 2024
Pedro S.F. Mendes, Florence H. Vermeire, Thibaut Van Haute, Joris W. Thybaut
Read original paper ↗ ·Recent advancements in noble-metal electrocatalysts for alkaline hydrogen evolution reaction
Chinese Chemical Letters · 2024
Guoliang Gao, Guangzhen Zhao, Guang Zhu, Bowen Sun, Bowen Sun, Zixu Sun, Shunli Li, Ya‐Qian Lan
Read original paper ↗ ·Tailoring the Olefin Selectivity in Catalytic Oxidative Dehydrogenation of Light Alkane by the Isolation Strategy
ACS Catalysis · 2024
Yicong Chai, Yanliang Zhou, Sen Lin, Xiaodong Wang, Jian Lin
Read original paper ↗ ·Combinatorial high throughput methodologies: the potentials in heterogeneous catalysts synthesis, screening and discovery—a review
Bulletin of the National Research Centre/Bulletin of the National Research Center · 2024
Jovine Kamuhabwa Emmanuel
Read original paper ↗ ·Characterization of lithium phosphorus oxide thin film libraries by laser-induced breakdown spectroscopy imaging: A step towards high-throughput quantitative analyses
Spectrochimica Acta Part B Atomic Spectroscopy · 2024
William Berthou, Maxime Legallais, Bruno Bousquet, Vincent Motto‐Ros, Frédéric Le Cras
Read original paper ↗ ·Machine learning insights into catalyst composition and structural effects on CH4 selectivity in iron-based fischer tropsch synthesis
Artificial Intelligence Chemistry · 2024
Yujun Liu, Xiaolong Zhang, Luotong Li, Xingchen Liu, Tingyu Lei, Jiawei Bai, Wenping Guo, Yuwei Zhou, Xingwu Liu, Botao Teng, Xiaodong Wen
Read original paper ↗ ·Embracing data science in catalysis research
Nature Catalysis · 2024
Manu Suvarna, Javier Pérez‐Ramírez
Read original paper ↗ ·A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis
Tenside Surfactants Detergents · 2024
Faisal Al‐Akayleh, Ahmed S.A. Ali Agha, Rami A. Abdel‐Rahem, Mayyas M. Al-Remawi
Read original paper ↗ ·Ammonia Energy: Synthesis and Utilization
Industrial & Engineering Chemistry Research · 2024
Zhenli Zhao, Manyu Zhang, Yanjing Wu, Weixiu Song, Jia Yan, Xun Qi, Jingwei Yang, Jie Wen, Hui Zhang
Read original paper ↗ ·Recent progress on ammonia cracking technologies for scalable hydrogen production
Current Opinion in Green and Sustainable Chemistry · 2024
Korawich Trangwachirachai, Kevin H. R. Rouwenhorst, Leon Lefferts, Jimmy Faria
Read original paper ↗ ·From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
ACS Catalysis · 2024
Jorge Benavides-Hernández, Franck Dumeignil
Read original paper ↗ ·Toward accelerated discovery of solid catalysts using extrapolative machine learning approach
Chemistry Letters · 2024
Takashi Toyao
Read original paper ↗ ·ROBERT : Bridging the Gap Between Machine Learning and Chemistry
Wiley Interdisciplinary Reviews Computational Molecular Science · 2024
David Dalmau, Juan V. Alegre‐Requena
Read original paper ↗ ·Data-driven catalyst design for oxidative dehydrogenation of propane with CO2 using decision tree regression
Applied Catalysis B: Environmental · 2024
Jisu Park, Iljun Chung, Hyunjun Jeong, Dongmin Lee, Yongju Yun
Read original paper ↗ ·