February 28, 2019 article Open access Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates Combustion and Flame DOI: 10.1016/j.combustflame.2019.02.019 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 8 stored of 198 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Extrapolation Performance of Convolutional Neural Network-Based Combustion Models for Large-Eddy Simulation: Influence of Reynolds Number, Filter Kernel and Filter Size 2025 Flow Turbulence and Combustion article Engineering Combustion and flame dynamics Open access 7 citations Efficient and Scalable AIxeleration of Reactive CFD Solvers Coupled with Deep Learning Inference on Heterogeneous Architectures 2025 conference-paper Computer Science Parallel Computing and Optimization Techniques Open access 2 citations A Data-Driven Approach to Refine the Partially Stirred Reactor Closure for Turbulent Premixed Flames 2025 Flow Turbulence and Combustion article Engineering Combustion and flame dynamics Open access 3 citations The transition to sustainable combustion: Hydrogen- and carbon-based future fuels and methods for dealing with their challenges 2024 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies Open access 108 citations Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows 2022 Proceedings of the Combustion Institute article Engineering Combustion and flame dynamics Open access 40 citations Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Large-Eddy Simulations of ECN Spray C 2022 SAE International Journal of Advances and Current Practices in Mobility article Chemical Engineering Advanced Combustion Engine Technologies Open access 8 citations Predictive Data-Driven Model Based on Generative Adversarial Network for Premixed Turbulence-Combustion Regimes 2022 Combustion Science and Technology article Engineering Combustion and flame dynamics Open access 15 citations Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows 2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access 150 citations 8 results References 0