Research graph
References from Probabilistic graph neural network-based real-time hydrogen gas explosion prediction from hydrogen production plants. Local targets link to admitted publications; unresolved targets remain external evidence.
Safety and reliability analysis of the solid propellant casting molding process based on FFTA and PSO-BPNN
10.1016/j.psep.2022.06.032 · 2022 · External reference
A hybrid expert neural network for predicting hydrogen concentration under the ceiling in underground garage
10.1016/j.buildenv.2024.112325 · 2025 · External reference
Dynamic Bayesian network based approach for risk analysis of hydrogen generation unit leakage
10.1016/j.ijhydene.2019.08.065 · 2019 · External reference
Advancements in hydrogen production, storage, distribution and refuelling for a sustainable transport sector: Hydrogen fuel cell vehicles
10.1016/j.ijhydene.2023.07.204 · 2024 · External reference
Hydrogen energy development in China: Potential assessment and policy implications
10.1016/j.ijhydene.2023.10.176 · 2024 · External reference
Methodology of CFD analysis for evaluating H2 explosion accidents in an open space
10.1016/j.ijhydene.2014.12.057 · 2015 · External reference
Prediction of BLEVE blast loading using CFD and artificial neural network
10.1016/j.psep.2021.03.018 · 2021 · External reference
Real-time hydrogen release and dispersion modelling of hydrogen refuelling station by using deep learning probability approach
10.1016/j.ijhydene.2023.04.126 · External reference
Real time hydrogen plume spatiotemporal evolution forecasting by using deep probabilistic spatial-temporal neural network
10.1016/j.ijhydene.2024.05.410 · External reference
Machine learning prediction of BLEVE loading with graph neural networks
10.1016/j.ress.2023.109639 · External reference
Prediction of BLEVE loads on structures using machine learning and CFD
10.1016/j.psep.2023.02.008 · External reference
Theoretical pressure prediction of confined hydrogen explosion considering flame instabilities
10.1016/j.jlp.2019.01.001 · 2019 · External reference
Experimental and theoretical investigation on hydrogen cloud explosion subjected to external turbulence
10.1016/j.ijhydene.2023.01.045 · External reference
Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model
10.1016/j.apenergy.2019.114259 · 2020 · External reference
Simulating vented hydrogen deflagrations: Improved modelling in the CFD tool FLACS-hydrogen
10.1016/j.ijhydene.2020.09.073 · 2021 · External reference
LES evaluation of hydrogen explosion disaster in interconnected vessels
10.1016/j.ijhydene.2024.11.437 · 2025 · External reference
Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling
10.1016/j.cma.2021.113915 · 2021 · External reference
Experiments on hydrogen deflagration
10.1016/j.jpowsour.2006.04.062 · 2006 · External reference
The graph neural network model
10.1109/tnn.2008.2005605 · 2009 · External reference
Stochastic explosion risk analysis of hydrogen production facilities
10.1016/j.ijhydene.2020.03.040 · 2020 · External reference
Vented gas explosion overpressure prediction of obstructed cubic chamber by Bayesian Regularization Artificial Neuron Network–Bauwens model
10.1016/j.jlp.2018.05.016 · 2018 · External reference
Numerical investigation of hydrogen vapor cloud explosion from a conceptual offshore hydrogen production platform
10.1016/j.jsasus.2024.11.004 · External reference
Physics_GNN: Towards Physics-informed graph neural network for the real-time simulation of obstructed gas explosion
10.1016/j.ress.2024.110777 · External reference
Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach
10.1016/j.energy.2020.119572 · 2021 · External reference
Real-time gas explosion prediction at urban scale by GIS and graph neural network
10.1016/j.apenergy.2024.124614 · External reference
Real-time natural gas release forecasting by using physics-guided deep learning probability model
10.1016/j.jclepro.2022.133201 · 2022 · External reference
Experimental and numerical study of gas explosion from semi-submersible platform
10.1016/j.oceaneng.2024.116958 · External reference
Real-time natural gas explosion modeling of offshore platforms by using deep learning probability approach
10.1016/j.oceaneng.2023.114244 · 2023 · External reference
Numerical investigation of the effect of riser spacing on gas explosion from semi-submersible platform
10.1016/j.psep.2024.05.117 · External reference
Automated detection and diagnosis of leak fault considering volatility by graph deep probability learning
10.1016/j.apenergy.2024.122939 · External reference
Application of Bayesian Regularization Artificial Neural Network in explosion risk analysis of fixed offshore platform
10.1016/j.jlp.2018.10.009 · External reference
Stochastic analysis of explosion risk for ultra-deep-water semi-submersible offshore platforms
10.1016/j.oceaneng.2018.12.045 · External reference
21st Century’s energy: Hydrogen energy system
10.1016/j.enconman.2007.08.015 · 2008 · External reference
Flame propagation speed prediction model of premixed methane gas deflagration experiments based on Adamax-LSTM for FLNG
10.1016/j.jlp.2024.105386 · External reference
Deep learning-based hydrogen leakage localization prediction considering sensor layout optimization in hydrogen refueling stations
10.1016/j.psep.2024.06.122 · External reference
A state-of-the-art review of experimental and numerical studies on BLEVE overpressure prediction
10.1016/j.jlp.2022.104920 · 2022 · External reference
Prediction of venting gas explosion overpressure based on a combination of explosive theory and machine learning
10.1016/j.eswa.2023.121044 · 2023 · External reference
Alkaline membrane-free water electrolyser for liquid hydrogen production
10.1016/j.renene.2024.121172 · 2024 · External reference
Review on hydrogen safety issues: Incident statistics, hydrogen diffusion, and detonation process
10.1016/j.ijhydene.2021.07.005 · 2021 · External reference
Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data
10.1016/j.eswa.2023.120542 · 2023 · External reference
