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RESEARCH PAPER · Catalysts · 2017

Application of Artificial Neural Networks for Catalysis: A Review

Hao Li, Zhien Zhang, Zhijian Liu

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Application of Artificial Neural Networks for Catalysis: A ReviewOriginalGreen Synthesis of Ultraviolet Absorber 2-Ethylhexyl Salicylate: Experimental Design and Artificial Neural Network Modeling10Progress in enhancement of CO2 absorption by nanofluids: A mini review of mechanisms and current status315Exploring the potential relationship between indoor air quality and the concentration of airborne culturable fungi: a combined experimental and neural network modeling study100Methane combustion reactivity during the metal→metallic oxide transformation of Pd-Pt catalysts: Effect of oxygen pressure21Modeling of a CO2-piperazine-membrane absorption system105Dynamic optimization of dry reformer under catalyst sintering using neural networks24Machine Learning for Building Energy and Indoor Environment: A Perspective3Evaluation Model of College Students Aerobics Athlete Selection Based on Fuzzy Neural Network0First-principle study of seven allotropes of arsenene and antimonene: thermodynamic, electronic and optical properties58Towards operando computational modeling in heterogeneous catalysis250Technical note: how to rationally compare the performances of different machine learning models?9Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN140Review of biodegradable synthetic-based drilling fluid: Progression, performance and future prospect113Effect of Porous Media and Sodium Dodecyl Sulphate Complex System on Methane Hydrate Formation59n -Decane hydro-conversion over bi- and tri-metallic Al-HMS catalyst in a mini-reactor14EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation100Machine learning predictive framework for CO2 thermodynamic properties in solution95Effect of Pd/Pt ratio on the reactivity of methane catalytic combustion in bimetallic Pd-Pt catalyst38A new chemical structure-based model to estimate solid compound solubility in supercritical CO234Remediation of lime-free roasting chromite ore processing residue (COPR) by water leaching and pyrolysis process13Mining the intrinsic trends of CO2 solubility in blended solutions65Extracting Knowledge from Data through Catalysis Informatics244Toward Predicting Efficiency of Organic Solar Cells via Machine Learning and Improved Descriptors258Applying machine learning to accelerate new materials development22In vivo sliding distance on the metal‐on‐polyethylene total hip arthroplasty articulation using patient‐specific gait analysis11Modelling and simulation of desalination process using artificial neural network: a review26Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-Distribution Systems1Computational modeling of polyethylene wear in total hip arthroplasty using patient-specific kinematics-coupled finite element analysis10ANFIS based evolutionary concept for estimating nucleate pool boiling heat transfer of refrigerant-ester oil containing nanoparticles20Estimating solubility of supercritical H2S in ionic liquids through a hybrid LSSVM chemical structure model23The effect of barium-promoted for microsphere Ru/CeO2 catalysts in ammonia synthesis6Effectiveness of amino acid salt solutions in capturing CO2: A review232Decision tree analysis for efficient CO2 utilization in electrochemical systems33Modeling of electrochemical properties of potential-induced defects in butane-thiol SAMs by using artificial neural network and impedance spectroscopy data20Reduced-Order Modeling of Subsurface Multi-phase Flow Models Using Deep Residual Recurrent Neural Networks77A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data145State-of-the-art in artificial neural network applications: A survey3054China’s provincial CO2 emissions and interprovincial transfer caused by investment demand18Fuzzy-modeling with Particle Swarm Optimization for enhancing the production of biodiesel from Microalga85Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids118Sulfur dioxide solubility prediction in ionic liquids by a group contribution — LSSVM model24A Data-Driven Reaction Network for the Fluid Catalytic Cracking of Waste Feeds16Combining DFT with ML to study size specific interactions between metal clusters and adsorbates0Structural properties of sub-nanometer metallic clusters64Analysis of the Indicator’s Performance to Predict Indonesian Teacher Engagement Index (ITEI) using Artificial Neural Networks7Experimental and theoretical investigation of oxidative methane activation on Pd–Pt catalysts5Remote Sensing: An Advanced Technique for Crop Condition Assessment66Non-Monotonic Trends of Hydrogen Adsorption on Single Atom Doped g-C3N431Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction157Economic Impacts of the Geothermal Industry in Beijing, China: An Input–Output Approach7Data-Mining for Processes in Chemistry, Materials, and Engineering43Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model68Impedance Spectroscopy and Neurocomputing Approaches to Investigate the Enhanced Electrical Blocking Properties of CH3(CH2)n−1SH Thin Monolayers Electrodeposited on a Gold Electrode7Employment impact assessment of carbon capture and storage (CCS) in China’s power sector based on input-output model18Experimental methods in chemical engineering: Artificial neural networks–ANNs67An integration of deep learning with feature embedding for protein–protein interaction prediction108Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network175Toward Fast and Reliable Potential Energy Surfaces for Metallic Pt Clusters by Hierarchical Delta Neural Networks52Artificial Intelligence Modelling Approach for the Prediction of CO-Rich Hydrogen Production Rate from Methane Dry Reforming33Modeling and optimization of fixed mode dual effect (photocatalysis and photo-Fenton) assisted Metronidazole degradation using ANN coupled with genetic algorithm45An Innovative Air Purification Method and Neural Network Algorithm Applied to Urban Streets5Computational Intelligence Generation of Subject-Specific Knee and Hip Healthy Joint Angles Reference Curves5Current status and applications of Artificial Intelligence (AI) in medical field: An overview268Back Propagation Neural Network(BPNN) and Sigmoid Activation Function in Multi-Layer Networks58Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns181Machine Learning for Epidemiological Analysis in The Industrial Area for a Sustainable Life1Directly predicting limiting potentials from easily obtainable physical properties of graphene-supported single-atom electrocatalysts by machine learning173Hand gesture recognition for human-robot interaction1Machine learning dihydrogen activation in the chemical space surrounding Vaska's complex178Machine-learning-assisted high-throughput computational screening of high performance metal–organic frameworks158The CSD and knowledge databases: from answers to questions22Understanding the ML black box with simple descriptors to predict cluster–adsorbate interaction energy13Exploring the impact and applications of artificial intelligence in advancing modern medical diagnostic practices-role of healthcare providers0A Critical Review of Machine Learning of Energy Materials606A Design-to-Device Pipeline for Data-Driven Materials Discovery114Recent advances in carbon dioxide utilization732On the adsorption of elemental mercury on single-atom TM (TM = V, Cr, Mn, Co) decorated graphene substrates30Burst Detection in District Metering Areas Using Deep Learning Method96Catalyst design using artificial intelligence: SO2 to SO3 case study20MODELLING OF TIO2 PROPERTIES FOR THE BAND GAP PREDICTION USING ARTIFICIAL NEURAL NETWORKS0Coherency spectral analysis of interfacial water at TiO2 surfaces3Recent progress on discovery and properties prediction of energy materials: Simple machine learning meets complex quantum chemistry62Recent advances in knowledge discovery for heterogeneous catalysis using machine learning130Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO2-P25: optimization and modeling approach42A simulator based on artificial neural networks and NSGA-II for prediction and optimization of the grinding process of superalloys with high performance grinding wheels32Footstep Recognition Using Mel Frequency Cepstral Coefficients and Artificial Neural Network2State‐of‐health prediction for lithium‐ion batteries via electrochemical impedance spectroscopy and artificial neural networks56Risk Prediction Of Chronic Kidney Disease Using Machine Learning Algorithms74AI Applications through the Whole Life Cycle of Material Discovery192Predicting Absenteeism and Temporary Disability Using Machine Learning: a Systematic Review and Analysis41Self-ordering water molecules at TiO2 interfaces: Advances in structural classification8Nucleation and growth of cholesteric collagen tactoids: A time-series statistical analysis based on integration of direct numerical simulation (DNS) and long short-term memory recurrent neural network (LSTM-RNN)30Assessment of TiO2 band gap from structural parameters using artificial neural networks26Modeling of Mechanical Properties of Clay-Reinforced Polymer Nanocomposites Using Deep Neural Network31Exploratory, Regression, and Neural Network Analysis of the Stability of Cation Coronates in Selected Pure Solvents4Prediction and Characterization of Flooding in Pulsed Sieve Plate Extraction Columns Using Data-Driven Models19Radial Basis Function Neural Network Model Prediction of Thermo-catalytic Carbon Dioxide 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optimization via coupled application of design of experiment and artificial neural networks33High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks14Early Warning Method for Public Health Emergency Under Artificial Neural Network in the Context of Deep Learning8Experimental methods in chemical engineering: High throughput catalyst testing — HTCT29TMtopo Dataset — Quantum Geometries and Density Topology for 1.1k Transition Metal Complexes0TMtopo Dataset — Quantum Geometries and Density Topology for 1.1k Transition Metal Complexes0Modeling the Direct Synthesis of Dimethyl Ether using Artificial Neural Networks3Artificial Neural Networks in Modeling of Dewaterability of Sewage Sludge11Modeling photocatalytic hydrogen production from ethanol over copper oxide nanoparticles: a comparative analysis of various machine learning techniques20DİŞHEKİMLİĞİ PRATİĞİNDE YAPAY ZEKANIN İLK BASAMAĞI: SEGMENTASYON UYGULAMALARI0Four Generations of High-Dimensional Neural Network Potentials873Artificial Neural Network based modeling of the vacuum membrane distillation process: Effects of operating parameters on membrane fouling70Artificial Neural Network Based Particle Swarm Optimization for Microgrid Optimal Energy Scheduling117Open Catalyst 2020 (OC20) Dataset and Community Challenges765Multiscale Catalyst Design for Steam Methane Reforming Assisted by Deep Learning10Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence4EdgeTrust - A Lightweight Data-centric Trust Management Approach for Green Internet of Edge Things5Evaluation of a Data-Driven, Machine Learning Approach for Identifying Potential Candidates for Environmental Catalysts: From Database Development to Prediction17Model development of Roof Thermal Transfer Value (RTTV) for green roof in tropical area: A case study in Singapore24Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks18Integration of data-intensive, machine learning and robotic experimental approaches for accelerated discovery of catalysts in renewable energy-related reactions28Conception de réseaux de neurones sur silicium à l’aide de synapses memristives : application au traitement d’image1Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats323Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage260Development of Neural Network for Cyclohexane Oxidation Data Processing1Bridging Scales in Bioenergy and Catalysis: A Review of Mesoscale Modeling Applications, Methods, and Future Directions28RETRACTED: Improve thermal performance of Simulated-Body-Fluid as a solution with an ion concentration close to human blood plasma, by additive Zinc Oxide and its composites: ZnO/Carbon Nanotube and ZnO/Hydroxyapatite17An Innovative Air Purification Method and Neural Network Algorithm Applied to Urban Streets1Total Organic Carbon and Clay Estimation in Shale Reservoirs Using Automatic Machine Learning0Development of Artificial Neural Networks for Cyclohexane Oxidation Data Analysis2THE USE OF NEURAL NETWORK IN DEFENSE AUDIT NONLINEAR DYNAMIC PROCESSING UNDER THE BACKGROUND OF BIG DATA3Application of Artificial Neural Networks for Catalysis0Machine Learning in Screening High Performance Electrocatalysts for CO2 Reduction110Smart Agri Wine: An Artificial Intelligence Approach to Predict Wine Quality6Application of computational approach in plastic pyrolysis kinetic modelling: a review41Modeling of Catalytic CO2 Methanation Using Smart Computational Schemes8Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning56Demodulation of EM Telemetry Data Using Fuzzy Wavelet Neural Network with Logistic Response1Computational chemistry and the study and design of catalysts9Desalination Plant Performance Prediction Model Using Grey Wolf Optimizer Based ANN Approach37Design of an artificial neural network to predict mortality among COVID-19 patients21Development of Artificial Neural Network Models for the Simulation of a CaCO3 Scale Formation Process in the Presence of Monoethylene Glycol (MEG) in Dynamic Tube Blocking Test Equipment10Random Forest Regression to Predict Catalyst Deactivation in Industrial Catalytic Process12Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors122Kinetics of the Direct DME Synthesis: State of the Art and Comprehensive Comparison of Semi-Mechanistic, Data-Based and Hybrid Modeling Approaches14Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones3

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  8. Evaluation Model of College Students Aerobics Athlete Selection Based on Fuzzy Neural Network

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  38. China’s provincial CO2 emissions and interprovincial transfer caused by investment demand

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  39. Fuzzy-modeling with Particle Swarm Optimization for enhancing the production of biodiesel from Microalga

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  43. Combining DFT with ML to study size specific interactions between metal clusters and adsorbates

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  44. Structural properties of sub-nanometer metallic clusters

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  46. Experimental and theoretical investigation of oxidative methane activation on Pd–Pt catalysts

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  49. Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction

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  50. Economic Impacts of the Geothermal Industry in Beijing, China: An Input–Output Approach

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