Potential application of metal-organic frameworks (MOFs) for hydrogen storage: Simulation by artificial intelligent techniques
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Potential application of metal-organic frameworks (MOFs) for hydrogen storage: Simulation by artificial intelligent techniques
Authors
Keywords
Metal-organic frameworks, Hydrogen storage capacity, Artificial intelligent methods, General regression neural networks
Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-09-13
DOI
10.1016/j.ijhydene.2021.08.167
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Forecasting of water thermal conductivity enhancement by adding nano-sized alumina particles
- (2021) Salah I. Yahya et al. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
- Modeling of CO2 capture ability of [Bmim][BF4] ionic liquid using connectionist smart paradigms
- (2021) Bahador Daryayehsalameh et al. Environmental Technology & Innovation
- Auto-characterization of naturally fractured reservoirs drilled by horizontal well using multi-output least squares support vector regression
- (2021) Seyedeh Raha Moosavi et al. Arabian Journal of Geosciences
- Design a neuro‐based computing paradigm for simulating of industrial olefin plants
- (2021) Seyyed Hamid Esmaeili-Faraj et al. CHEMICAL ENGINEERING & TECHNOLOGY
- Well logging curve reconstruction based on kernel ridge regression
- (2021) Pengpeng Fan et al. Arabian Journal of Geosciences
- Metal–organic frameworks (MOFs) based electrochemical biosensors for early cancer diagnosis in vitro
- (2021) Shuai Zhang et al. COORDINATION CHEMISTRY REVIEWS
- Prediction of Surface Tension of Various Aqueous Amine Solutions Using the UNIFAC Model and Artificial Neural Networks
- (2021) Nayereh Sadat Mousavi et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Effect of zinc substitution by magnesium and cadmium on hydrogen storage properties of connector-metal-organic framework-5
- (2021) Majid EL Kassaoui et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Robust intelligent topology for estimation of heat capacity of biochar pyrolysis residues
- (2021) Mohsen Karimi et al. MEASUREMENT
- Estimation of kinematic viscosity of biodiesel-diesel blends: Comparison among accuracy of intelligent and empirical paradigms
- (2021) Salah I. Yahya et al. RENEWABLE ENERGY
- Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
- (2020) Hanan Al-Hadeethi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Smart computing approach for design and scale-up of conical spouted beds with open-sided draft tubes
- (2020) M. Karimi et al. Particuology
- Molecular modelling and machine learning for high-throughput screening of metal-organic frameworks for hydrogen storage
- (2019) N. Scott Bobbitt et al. MOLECULAR SIMULATION
- Prediction of multiphase critical choke flow behavior by using a rigorous artificial neural network method
- (2019) Saeed Rashid et al. FLOW MEASUREMENT AND INSTRUMENTATION
- The feasibility of Levenberg–Marquardt algorithm combined with imperialist competitive computational method predicting drag reduction in crude oil pipelines
- (2019) Hossein Moayedi et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Hydrogen storage capacity and methylene blue adsorption performance of activated carbon produced from Arundo donax
- (2019) Osman Üner MATERIALS CHEMISTRY AND PHYSICS
- Estimation of pool boiling heat transfer coefficient of alumina water-based nanofluids by various artificial intelligence (AI) approaches
- (2018) Mohammad Hassanpour et al. APPLIED THERMAL ENGINEERING
- Accurate prediction of solubility of gases within H 2 -selective nanocomposite membranes using committee machine intelligent system
- (2018) Amir Dashti et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Clean fuel options with hydrogen for sea transportation: A life cycle approach
- (2018) Yusuf Bicer et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Characteristics of MOF, MWCNT and graphene containing materials for hydrogen storage: A review
- (2018) Kranthi Kumar Gangu et al. Journal of Energy Chemistry
- Prediction of coefficients of the Langmuir adsorption isotherm using various artificial intelligence (AI) techniques
- (2018) F. Mahmoodi et al. Journal of the Iranian Chemical Society
- Designing an Efficient Artificial Intelligent Approach for Estimation of Hydrodynamic Characteristics of Tapered Fluidized Bed from Its Design and Operating Parameters
- (2017) Mohsen Karimi et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Adsorption of hydrogen isotopes in the zeolite NaX: Experiments and simulations
- (2017) J.M. Salazar et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Effect of surface functional groups on hydrogen adsorption properties of Pd dispersed reduced graphene oxide
- (2017) Tapas K. Das et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- A review of hydrogen as a compression ignition engine fuel
- (2017) Pavlos Dimitriou et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Force-Field Prediction of Materials Properties in Metal-Organic Frameworks
- (2017) Peter G. Boyd et al. Journal of Physical Chemistry Letters
- Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs)
- (2017) Maryam Pardakhti et al. ACS Combinatorial Science
- Volumetric Hydrogen Storage Capacity in Metal-Organic Frameworks
- (2017) R. Balderas-Xicohténcatl et al. Energy Technology
- Intelligent models to predict hydrogen yield in dark microbial fermentations using existing knowledge
- (2016) Yeshona Sewsynker et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Constructive algorithm for fully connected cascade feedforward neural networks
- (2016) Junfei Qiao et al. NEUROCOMPUTING
- Recent developments in porous materials for H2 and CH4 storage
- (2016) Jia Liu et al. TETRAHEDRON LETTERS
- Geometrical Properties Can Predict CO2 and N2 Adsorption Performance of Metal–Organic Frameworks (MOFs) at Low Pressure
- (2016) Michael Fernandez et al. ACS Combinatorial Science
- A more efficient way to shape metal-organic framework (MOF) powder materials for hydrogen storage applications
- (2015) Jianwei Ren et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Review on processing of metal-organic framework (MOF) materials towards system integration for hydrogen storage
- (2014) Jianwei Ren et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Rapid and Accurate Machine Learning Recognition of High Performing Metal Organic Frameworks for CO2 Capture
- (2014) Michael Fernandez et al. Journal of Physical Chemistry Letters
- Large-Scale Quantitative Structure–Property Relationship (QSPR) Analysis of Methane Storage in Metal–Organic Frameworks
- (2013) Michael Fernandez et al. Journal of Physical Chemistry C
- Hydrogen adsorption, absorption and diffusion on and in transition metal surfaces: A DFT study
- (2012) Peter Ferrin et al. SURFACE SCIENCE
- Software development effort prediction of industrial projects applying a general regression neural network
- (2011) Cuauhtemoc Lopez-Martin et al. EMPIRICAL SOFTWARE ENGINEERING
- Determination of lifetime probabilities of carbon fibre composite plates and pressure vessels for hydrogen storage
- (2011) S. Camara et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- MOF-5 and activated carbons as adsorbents for gas storage
- (2011) J.P. Marco-Lozar et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Reduction in CO emissions along a two-stage hydrogen-permselective membrane reactor in methanol synthesis process
- (2011) M.R. Rahimpour et al. JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
- Control of dissolved oxygen concentration using neural network in a batch bioreactor
- (2010) Tufan Mete et al. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
- Application of PC-ANN and PC-LS-SVM in QSAR of CCR1 antagonist compounds: A comparative study
- (2010) Mohsen Shahlaei et al. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- Adsorption and compression contributions to hydrogen storage in activated anthracites
- (2010) V. Fierro et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Using molecular simulation to characterise metal–organic frameworks for adsorption applications
- (2009) Tina Düren et al. CHEMICAL SOCIETY REVIEWS
- Hydrogen storage in metal–organic frameworks
- (2009) Leslie J. Murray et al. CHEMICAL SOCIETY REVIEWS
- Ab Initio Study of Hydrogen Adsorption in MOF-5
- (2009) Kaido Sillar et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- The prediction of SO2 removal using statistical methods and artificial neural network
- (2009) Gülay Ozkan et al. NEURAL COMPUTING & APPLICATIONS
- Estimation of research reactor core parameters using cascade feed forward artificial neural networks
- (2009) Afshin Hedayat et al. PROGRESS IN NUCLEAR ENERGY
- Thermodynamics of hydrogen adsorption on the zeolite Ca-Y
- (2008) G. Turnes Palomino et al. CATALYSIS TODAY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search