Related references
Note: Only part of the references are listed.A chemistry-inspired neural network kinetic model for oxidative coupling of methane from high-throughput data
Kexin Chen et al.
AICHE JOURNAL (2022)
Dissecting La2Ce2O7 catalyst to unravel the origin of the surface active sites devoting to its performance for oxidative coupling of methane (OCM)
Zhixuan Zhang et al.
CATALYSIS TODAY (2022)
In-depth understanding of the crystal-facet effect of La2O2CO3 for low-temperature oxidative coupling of methane
Ru Feng et al.
FUEL (2022)
Recent advances in knowledge discovery for heterogeneous catalysis using machine learning
M. Erdem Gunay et al.
CATALYSIS REVIEWS-SCIENCE AND ENGINEERING (2021)
Direct Design of Catalysts in Oxidative Coupling of Methane via High-Throughput Experiment and Deep Learning
Kanami Sugiyama et al.
CHEMCATCHEM (2021)
Representing Catalytic and Processing Space in Methane Oxidation Reaction via Multioutput Machine Learning
Itsuki Miyazato et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2021)
Learning Catalyst Design Based on Bias-Free Data Set for Oxidative Coupling of Methane
Thanh Nhat Nguyen et al.
ACS CATALYSIS (2021)
Experimental methods in chemical engineering: High throughput catalyst testing - HTCT
Carlos Ortega et al.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2021)
Extraction of Catalyst Design Heuristics from Random Catalyst Dataset and their Utilization in Catalyst Development for Oxidative Coupling of Methane
Sunao Nakanowatari et al.
CHEMCATCHEM (2021)
Factors to influence low-temperature performance of supported Mn-Na2WO4 in oxidative coupling of methane
Thanh Nhat Nguyen et al.
MOLECULAR CATALYSIS (2021)
Analysis of Updated Literature Data up to 2019 on the Oxidative Coupling of Methane Using an Extrapolative Machine-Learning Method to Identify Novel Catalysts
Shinya Mine et al.
CHEMCATCHEM (2021)
Unveiling gas-phase oxidative coupling of methane via data analysis
Sora Ishioka et al.
JOURNAL OF COMPUTATIONAL CHEMISTRY (2021)
Catalysis Gene Expression Profiling: Sequencing and Designing Catalysts
Keisuke Takahashi et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2021)
Constructing catalyst knowledge networks from catalyst big data in oxidative coupling of methane for designing catalysts
Lauren Takahashi et al.
CHEMICAL SCIENCE (2021)
Constructing Ni-based confinement catalysts with advanced performances toward the CO2 reforming of CH4: state-of-the-art review and perspectives
Yingying Xue et al.
CATALYSIS SCIENCE & TECHNOLOGY (2021)
Direct design of active catalysts for low temperature oxidative coupling of methane via machine learning and data mining
Junya Ohyama et al.
CATALYSIS SCIENCE & TECHNOLOGY (2021)
Tailoring La2Ce2O7 catalysts for low temperature oxidative coupling of methane by optimizing the preparation methods
Yan Zhang et al.
CATALYSIS TODAY (2020)
High-Throughput Experimentation and Catalyst Informatics for Oxidative Coupling of Methane
Thanh Nhat Nguyen et al.
ACS CATALYSIS (2020)
Machine Learning for Catalysis Informatics: Recent Applications and Prospects
Takashi Toyao et al.
ACS CATALYSIS (2020)
Multidimensional Classification of Catalysts in Oxidative Coupling of Methane through Machine Learning and High-Throughput Data
Keisuke Takahashi et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2020)
Revisiting Machine Learning Predictions for Oxidative Coupling of Methane (OCM) based on Literature Data
Shun Nishimura et al.
CHEMCATCHEM (2020)
Particle Size Effects in Stoichiometric Methane Combustion: Structure-Activity Relationship of Pd Catalyst Supported on Gamma-Alumina
Jianjun Chen et al.
ACS CATALYSIS (2020)
Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts
Jun Fujima et al.
REACTION CHEMISTRY & ENGINEERING (2020)
The role of mass and heat transfer in the design of novel reactors for oxidative coupling of methane
Laurien A. Vandewalle et al.
CHEMICAL ENGINEERING SCIENCE (2019)
A meta-analysis of catalytic literature data reveals property-performance correlations for the OCM reaction
Roman Schmack et al.
NATURE COMMUNICATIONS (2019)
Data Driven Determination of Reaction Conditions in Oxidative Coupling of Methane via Machine Learning
Junya Ohyama et al.
CHEMCATCHEM (2019)
Unsupervised word embeddings capture latent knowledge from materials science literature
Vahe Tshitoyan et al.
NATURE (2019)
The Rise of Catalyst Informatics: Towards Catalyst Genomics
Keisuke Takahashi et al.
CHEMCATCHEM (2019)
Unveiling Hidden Catalysts for the Oxidative Coupling of Methane based on Combining Machine Learning with Literature Data
Keisuke Takahashi et al.
CHEMCATCHEM (2018)
Fast Optimization of LiMgMnOx/La2O3 Catalysts for the Oxidative Coupling of Methane
Zhinian Li et al.
ACS COMBINATORIAL SCIENCE (2017)
Methane conversion into different hydrocarbons or oxygenates: current status and future perspectives in catalyst development and reactor operation
Evgenii V. Kondratenko et al.
CATALYSIS SCIENCE & TECHNOLOGY (2017)
Machine learning in materials informatics: recent applications and prospects
Rampi Ramprasad et al.
NPJ COMPUTATIONAL MATERIALS (2017)
Advanced reactor concepts for oxidative coupling of methane
A. Cruellas et al.
CATALYSIS REVIEWS-SCIENCE AND ENGINEERING (2017)
Structure Sensitivity of La2O2CO3 Catalysts in the Oxidative Coupling of Methane
Yu-Hui Hou et al.
ACS CATALYSIS (2015)
Feasibility study of the Mn-Na2WO4/SiO2 catalytic system for the oxidative coupling of methane in a fluidized-bed reactor
S. Sadjadi et al.
CATALYSIS SCIENCE & TECHNOLOGY (2015)
Ce-Doped La2O3 based catalyst for the oxidative coupling of methane
Victor J. Ferreira et al.
CATALYSIS COMMUNICATIONS (2013)
Oxidative Coupling of Methane by Nanofiber Catalysts
Daniel Noon et al.
CHEMCATCHEM (2013)
Exploiting shape effects of La2O3 nanocatalysts for oxidative coupling of methane reaction
Ping Huang et al.
NANOSCALE (2013)
Catalyst design based on microkinetic models: Oxidative coupling of methane
Joris W. Thybaut et al.
CATALYSIS TODAY (2011)
Statistical Analysis of Past Catalytic Data on Oxidative Methane Coupling for New Insights into the Composition of High-Performance Catalysts
Ulyana Zavyalova et al.
CHEMCATCHEM (2011)
High-temperature parallel screening of catalysts for the oxidative coupling of methane
Louis Olivier et al.
CATALYSIS TODAY (2008)
Integrating high-throughput characterization into combinatorial heterogeneous catalysis: unsupervised construction of quantitative structure/property relationship models
A Corma et al.
JOURNAL OF CATALYSIS (2005)