BetaCitation Atlas
← Back to paper and map

Papers citing Application of Artificial Neural Networks for Catalysis: A Review

  1. Data-Mining for Processes in Chemistry, Materials, and Engineering

    Processes · 2019-03-11

    Hao Li, Zhien Zhang, Zhe-Ze Zhao

    Read original paper ↗ ·
  2. Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model

    Environmental Chemistry Letters · 2019-03-18

    Hao Li, Dan Yan, Zhien Zhang, Eric A. Lichtfouse

    Read original paper ↗ ·
  3. Impedance Spectroscopy and Neurocomputing Approaches to Investigate the Enhanced Electrical Blocking Properties of CH3(CH2)n−1SH Thin Monolayers Electrodeposited on a Gold Electrode

    Journal of Electronic Materials · 2019-03-27

    Safia Hadjimi, Adel Belayadi, Mokhtar Zabat, Ahmed Mougari, Mohammed Wafik Khemici

    Read original paper ↗ ·
  4. Employment impact assessment of carbon capture and storage (CCS) in China’s power sector based on input-output model

    Environmental Science and Pollution Research · 2019-04-04

    Yong Zhou Jiang, Yalin Lei, Xin Yan, Yongzhi Peter Yang

    Read original paper ↗ ·
  5. Experimental methods in chemical engineering: Artificial neural networks–ANNs

    The Canadian Journal of Chemical Engineering · 2019-06-05

    Jacopo Panerati, Matthias A. Schnellmann, Christian A. Patience, Giovanni Beltrame, Gregory Scott Patience

    Read original paper ↗ ·
  6. An integration of deep learning with feature embedding for protein–protein interaction prediction

    PeerJ · 2019-06-17

    Yu Yao, Xiuquan Du, Yanyu Diao, Huaixu Zhu

    Read original paper ↗ ·
  7. Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network

    Journal of Photochemistry and Photobiology A Chemistry · 2019-08-16

    Muhammad Waseem Zulfiqar, Mohamad Fakhrul Ridhwan Samsudin, Suriati Binti Sufian

    Read original paper ↗ ·
  8. Toward Fast and Reliable Potential Energy Surfaces for Metallic Pt Clusters by Hierarchical Delta Neural Networks

    Journal of Chemical Theory and Computation · 2019-08-29

    Geng Sun, Philippe Sautet

    Read original paper ↗ ·
  9. Artificial Intelligence Modelling Approach for the Prediction of CO-Rich Hydrogen Production Rate from Methane Dry Reforming

    Catalysts · 2019-08-31

    Bamidele Victor Ayodele, Siti Indati Mustapa, May Ali Alsaffar, Chin‐Hsiang Cheng

    Read original paper ↗ ·
  10. Modeling and optimization of fixed mode dual effect (photocatalysis and photo-Fenton) assisted Metronidazole degradation using ANN coupled with genetic algorithm

    Journal of Environmental Management · 2019-09-17

    Steffi Talwar, Anoop Kumar Verma, Vikas Kumar Sangal

    Read original paper ↗ ·
  11. An Innovative Air Purification Method and Neural Network Algorithm Applied to Urban Streets

    International Journal of Embedded and Real-Time Communication Systems · 2019-09-20

    Meryeme Boumahdi, Chaker El Amrani, Siegfried Denys

    Read original paper ↗ ·
  12. Computational Intelligence Generation of Subject-Specific Knee and Hip Healthy Joint Angles Reference Curves

    World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 2019-09-24

    Pedro Sá Cunha, João Paulo Ferreira, A. Paulo Coimbra, Manuel M. Crisostomo

    Read original paper ↗ ·
  13. Current status and applications of Artificial Intelligence (AI) in medical field: An overview

    Current Medicine Research and Practice · 2019-11-01

    Abid Haleem, Mohd Javaid, Ibrahim Haleem Khan

    Read original paper ↗ ·
  14. Back Propagation Neural Network(BPNN) and Sigmoid Activation Function in Multi-Layer Networks

    Academic Journal of Nawroz University · 2019-11-14

    Renas Rajab Asaad, Rasan Ismail Ali

    Read original paper ↗ ·
  15. Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns

    Frontiers in Chemistry · 2019-11-26

    Tânia F. G. G. Cova, Alberto A. C. C. Pais

    Read original paper ↗ ·
  16. Machine Learning for Epidemiological Analysis in The Industrial Area for a Sustainable Life

    International Journal of Innovative Technology and Exploring Engineering · 2019-12-30

    Read original paper ↗ ·
  17. Directly predicting limiting potentials from easily obtainable physical properties of graphene-supported single-atom electrocatalysts by machine learning

    Journal of Materials Chemistry A · 2020-01-01

    Shiru Lin, Haoxiang Xu, Yekun Wang, Xiao Cheng Zeng, Zhongfang Chen

    Read original paper ↗ ·
  18. Hand gesture recognition for human-robot interaction

    Unknown journal · 2020-01-01

    Ann Nie Tan

    Read original paper ↗ ·
  19. Machine learning dihydrogen activation in the chemical space surrounding Vaska's complex

    Chemical Science · 2020-01-01

    Pascal Friederich, Gabe Gomes, Riccardo De Bin, Alán Aspuru‐Guzik, David Balcells

    Read original paper ↗ ·
  20. Machine-learning-assisted high-throughput computational screening of high performance metal–organic frameworks

    Molecular Systems Design & Engineering · 2020-01-01

    Zenan Shi, Wenyuan Yang, Xiaomei Deng, Chengzhi Cai, Yaling Yan, Hong Liang, Zili Liu, Zhiwei Qiao

    Read original paper ↗ ·
  21. The CSD and knowledge databases: from answers to questions

    CrystEngComm · 2020-01-01

    Alexander P. Shevchenko, Roman A. Eremin, Vladislav A. Blatov

    Read original paper ↗ ·
  22. Understanding the ML black box with simple descriptors to predict cluster–adsorbate interaction energy

    New Journal of Chemistry · 2020-01-01

    Sheena Agarwal, Shweta Mehta, Kavita Joshi

    Read original paper ↗ ·
  23. Exploring the impact and applications of artificial intelligence in advancing modern medical diagnostic practices-role of healthcare providers

    International Journal of Health Sciences · 2020-01-15

    Fahdah Mehsan Alotaibi, ‏Abdulrhman Ali Almazam, ‏Arwa Mohammad Emam, ‏Naif Saad Alqahtani, ‏Ashwaq Ibrahim Alheggi, ‏Waseem Nasser Alshahranl, ‏Ashwaq Fahad Alanazi, ‏Maryam Helal Alanazi, ‏Mahfoudh Saad Alghamdi, ‏Abdulaziz Shaem Alsharari, ‏Sami Farhan Alsharari, ‏Moteb Roshaid Alshamari, Ali Eid Atallah Albalawi, Mariam Adnan Alkhadrawi, Nasser Hamoud Mohammed Alharbi

    Read original paper ↗ ·
  24. A Critical Review of Machine Learning of Energy Materials

    Advanced Energy Materials · 2020-01-29

    Chi Chen, Yunxing Zuo, Weike Ye, Xiangguo Li, Zhi Deng, Shyue Ping Ong

    Read original paper ↗ ·
  25. A Design-to-Device Pipeline for Data-Driven Materials Discovery

    Accounts of Chemical Research · 2020-02-25

    Jacqueline M. Cole

    Read original paper ↗ ·
  26. Recent advances in carbon dioxide utilization

    Renewable and Sustainable Energy Reviews · 2020-03-12

    Zhien Zhang, Shu-Yuan Pan, Hao Li, Jianchao Cai, Abdul Ghani Olabi, Edward John Anthony, Vasilije M. Manovic

    Read original paper ↗ ·
  27. On the adsorption of elemental mercury on single-atom TM (TM = V, Cr, Mn, Co) decorated graphene substrates

    Applied Surface Science · 2020-03-14

    Zhengyang Gao, Shaopeng Xu, Linlin Li, Ge Yan, Weijie Yang, Chongchong Wu, Ian Donald Gates

    Read original paper ↗ ·
  28. Burst Detection in District Metering Areas Using Deep Learning Method

    Journal of Water Resources Planning and Management · 2020-03-23

    Xiaoting Wang, Guancheng Guo, Shuming Liu, Yipeng Wu, Xiyan Xu, Kate Smith‐Miles

    Read original paper ↗ ·
  29. Catalyst design using artificial intelligence: SO2 to SO3 case study

    The Canadian Journal of Chemical Engineering · 2020-04-09

    Ariel Boucheikhchoukh, Jules Thibault, Clémence Fauteux‐Lefebvre

    Read original paper ↗ ·
  30. MODELLING OF TIO2 PROPERTIES FOR THE BAND GAP PREDICTION USING ARTIFICIAL NEURAL NETWORKS

    Unknown journal · 2020-04-29

    ANNITA DA COSTA FIDALGO

    Read original paper ↗ ·
  31. Coherency spectral analysis of interfacial water at TiO2 surfaces

    Molecular Simulation · 2020-05-22

    Dáire O’Carroll, José Ángel Martı́nez-González, Niall J. English

    Read original paper ↗ ·
  32. Recent progress on discovery and properties prediction of energy materials: Simple machine learning meets complex quantum chemistry

    Journal of Energy Chemistry · 2020-05-27

    Yongqiang Kang, Lejing Li, Baohua Li

    Read original paper ↗ ·
  33. Recent advances in knowledge discovery for heterogeneous catalysis using machine learning

    Catalysis Reviews · 2020-06-02

    Mehmet Erdem Günay, Ramazan Yıldırım

    Read original paper ↗ ·
  34. Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO2-P25: optimization and modeling approach

    Environmental Science and Pollution Research · 2020-06-15

    Muhammad Waseem Zulfiqar, Sujan Chowdhury, Abdul Aziz Omar, Ahmer Ali Siyal, Suriati Binti Sufian

    Read original paper ↗ ·
  35. A simulator based on artificial neural networks and NSGA-II for prediction and optimization of the grinding process of superalloys with high performance grinding wheels

    CIRP journal of manufacturing science and technology · 2020-06-19

    Ciniro Aparecido Leite Nametala, Adriel Magalhães Souza, Benvindo Rodrigues Pereira, Eraldo Jannone da Silva

    Read original paper ↗ ·
  36. Footstep Recognition Using Mel Frequency Cepstral Coefficients and Artificial Neural Network

    Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) · 2020-06-20

    Thasya Nurul Wulandari Siagian, Hilal Hudan Nuha, Rahmat Yasirandi

    Read original paper ↗ ·
  37. State‐of‐health prediction for lithium‐ion batteries via electrochemical impedance spectroscopy and artificial neural networks

    Energy Storage · 2020-06-27

    Yige Li, Bo Dong, Taner Zerrin, Evan Jauregui, Xichao Wang, Xia Hua, Dwaraknath Ravichandran, Ruoxu Shang, Jia Xie, Mihrimah Ozkan, Cengiz Sinan Ozkan

    Read original paper ↗ ·
  38. Risk Prediction Of Chronic Kidney Disease Using Machine Learning Algorithms

    International Conference on Computing, Communication and Networking Technologies (ICCCNT) · 2020-07-01

    Shanila Yunus Yashfi, Md Ashikul Islam, Pritilata, Nazmus Sakib, Tanzila Islam, Mohammad Shahbaaz, Sadaf Salman Pantho

    Read original paper ↗ ·
  39. AI Applications through the Whole Life Cycle of Material Discovery

    Matter · 2020-08-01

    Jiali Li, Kaizhuo Lim, Haitao Yang, Zekun Ren, S. Raghavan, Po‐Yen Chen, Tonio Buonassisi, Xiaonan Wang

    Read original paper ↗ ·
  40. Predicting Absenteeism and Temporary Disability Using Machine Learning: a Systematic Review and Analysis

    Journal of Medical Systems · 2020-08-07

    Isabel Herrera Montano, Gonçalo Marques, Susel Góngora Alonso, Miguel López-Coronado, Isabel de la Torre Díez

    Read original paper ↗ ·
  41. Self-ordering water molecules at TiO2 interfaces: Advances in structural classification

    The Journal of Chemical Physics · 2020-08-11

    Dáire O’Carroll, Niall J. English

    Read original paper ↗ ·
  42. Nucleation 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)

    Journal of Colloid and Interface Science · 2020-08-17

    Sayyed Ahmad Khadem, Alejandro D. Rey

    Read original paper ↗ ·
  43. Assessment of TiO2 band gap from structural parameters using artificial neural networks

    Journal of Photochemistry and Photobiology A Chemistry · 2020-09-09

    ANNITA DA COSTA FIDALGO, Sônia Letichevsky, Brunno Ferreira dos Santos

    Read original paper ↗ ·
  44. Modeling of Mechanical Properties of Clay-Reinforced Polymer Nanocomposites Using Deep Neural Network

    Materials · 2020-09-25

    Bouchaib Zazoum, Ennouri Triki, Abdel Bachri

    Read original paper ↗ ·
  45. Exploratory, Regression, and Neural Network Analysis of the Stability of Cation Coronates in Selected Pure Solvents

    Russian Journal of General Chemistry · 2020-10-01

    Nikolay V. Bondarev

    Read original paper ↗ ·
  46. Prediction and Characterization of Flooding in Pulsed Sieve Plate Extraction Columns Using Data-Driven Models

    Industrial & Engineering Chemistry Research · 2020-10-20

    Johannes Brockkötter, Michael Cielanga, Benedikt Weber, Andreas Jupke

    Read original paper ↗ ·
  47. Radial Basis Function Neural Network Model Prediction of Thermo-catalytic Carbon Dioxide Oxidative Coupling of Methane to C2-hydrocarbon

    Topics in Catalysis · 2020-11-28

    Bamidele Victor Ayodele, Siti Indati Mustapa, Thongthai Witoon, Ramesh Kanthasamy, Mohammed Zwawi, Chiedu Ngozi Owabor

    Read original paper ↗ ·
  48. Increasing the Efficiency of Optimized V-SBA-15 Catalysts in the Selective Oxidation of Methane to Formaldehyde by Artificial Neural Network Modelling

    Catalysts · 2020-12-02

    Benny Kunkel, Anke Kabelitz, Ana Guilherme Buzanich, Sebastian Wohlrab

    Read original paper ↗ ·
  49. Accelerated identification of high-performance catalysts for low-temperature NH 3 -SCR by machine learning

    Journal of Materials Chemistry A · 2021-01-01

    Yi Dong, Yu Zhang, Mingchu Ran, Xiao Zhang, Shaojun Liu, Yang Yang, Wenshuo Hu, Chenghang Zheng, Xiang Gao

    Read original paper ↗ ·
  50. Artificial Neural network and experimental work of a solar cavity collector

    Materials Today Proceedings · 2021-01-01

    B. Lakshmipathy, K. Sivakumar, M. Senthil Kumar, A. Kajavali, B. Sıvaraman

    Read original paper ↗ ·