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I

I. M. Navon

Florida State University

60H-index
366Paper Count
1.1WCitation Count
Published Papers 55
Publication Date
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Duo-AttnOPNets: Advancing Global Operational Forecasting for Atmospheric Carbon Monoxide With AI-Empowered 4D-Var
errJournal of Advances in Modeling Earth Systems
IF4.6
err2026-02-06
err0
errOAAI
errJudongyang Zhou; Fangxin Fang; Christopher C. Pain; Linfeng Li; Jie Zheng; Yanghua Wang; Ionel Michael Navon; Jiang Zhu
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A reduced order model discretisation of the space-angle phase-space dimensions of the Boltzmann transport equation with application to nuclear reactor problems
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-11-01
err0
errOAAI
errBuchan, Andrew G.; Navon, Ionel M.; Yang, Liang
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Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-01-01
err4
PREAI
errWang, Yuepeng; Li, Jie; Zhao, Wenju; Navon, I. M.; Lin, Guang
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Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin- Hebei region in China
errSCIENCE OF THE TOTAL ENVIRONMENT
IF8
err2023-07-01
err8
errOAAI
errCheng, Meiling; Fang, Fangxin; Navon, Ionel Michael; Zheng, Jie; Zhu, Jiang; Pain, Christopher
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errSave
Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting
errnature computational science
IF3.7
err2023-05-01
err6
errOAAI
errCheng, Meiling; Fang, Fangxin; Navon, Ionel M.; Pain, Christopher
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Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2023-02-01
err25
errOAAI
errFu, Jinlong; Xiao, Dunhui; Fu, Rui; Li, Chenfeng; Zhu, Chuanhua; Arcucci, Rossella; Navon, Ionel M.
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CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2023-01-01
err6
errOAAI
errRenganathan, S. Ashwin; Rao, Vishwas; Navon, Ionel M.
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Dynamic mode decomposition with core sketch
errPHYSICS OF FLUIDS
IF4.3
err2022-06-10
err8
errOAAI
errAhmed, Shady E.; Dabaghian, Pedram H.; San, Omer; Bistrian, Diana A.; Navon, Ionel M.
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An AI-based non-intrusive reduced-order model for extended domains applied to multiphase flow in pipes
errPHYSICS OF FLUIDS
IF4.3
err2022-05-11
err28
errOAAI
errHeaney, Claire E.; Wolffs, Zef; Tomasson, Jon Atli; Kahouadji, Lyes; Salinas, Pablo; Nicolle, Andre; Navon, Ionel M.; Matar, Omar K.; Srinil, Narakorn; Pain, Christopher C.
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A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark
errPHYSICS OF FLUIDS
IF4.3
err2021-05-10
err21
PREAI
errCheng, Meiling; Fang, Fangxin; Navon, I. M.; Pain, C. C.
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errSave
Feasibility of DEIM for retrieving the initial field via dimensionality reduction
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-03-01
err6
errOAAI
errWang, Yuepeng; Ding, Xuemei; Hu, Kun; Fang, Fangxin; Navon, I. M.; Lin, Guang
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errSave
An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2020-12-01
err29
errOAAI
errCheng, M.; Fang, F.; Pain, C. C.; Navon, I. M.
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errSave
A POD reduced-order model based on spectral Galerkin method for solving the space-fractional Gray-Scott model with error estimate
errENGINEERING WITH COMPUTERS
IF4.9
err2020-11-10
err18
PREAI
errAbbaszadeh, Mostafa; Dehghan, Mehdi; Navon, Ionel Michael
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errSave
Long lead-time daily and monthly streamflow forecasting using machine learning methods
errJOURNAL OF HYDROLOGY
IF6.3
err2020-11-01
err177
PREAI
errCheng, M.; Fang, F.; Kinouchi, T.; Navon, I. M.; Pain, C. C.
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errSave
Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows
errPHYSICS OF FLUIDS
IF4.3
err2020-07-15
err42
errOAAI
errPawar, Suraj; Ahmed, Shady E.; San, Omer; Rasheed, Adil; Navon, Ionel M.
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Data -driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2020-06-01
err60
errOAAI
errCheng, M.; Fang, F.; Pain, C. C.; Navon, I. M.
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errSave
Memory embedded non-intrusive reduced order modeling of non-ergodic flows
errPHYSICS OF FLUIDS
IF4.3
err2019-12-23
err40
errOAAI
errAhmed, Shady E.; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil; Navon, Ionel M.
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errSave
A domain decomposition method for the non-intrusive reduced order modelling of fluid flow
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2019-09-01
err30
PREAI
errXiao, D.; Fang, F.; Heaney, C. E.; Navon, I. M.; Pain, C. C.
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errSave
Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method
errJOURNAL OF HYDROLOGY
IF6.3
err2019-08-01
err128
PREAI
errHu, R.; Fang, F.; Pain, C. C.; Navon, I. M.
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errSave
A reduced order model for turbulent flows in the urban environment using machine learning
errBUILDING AND ENVIRONMENT
IF7.6
err2019-01-01
err86
errOAAI
errXiao, D.; Heaney, C. E.; Mottet, L.; Fang, F.; Lin, W.; Navon, I. M.; Guo, Y.; Matar, O. K.; Robins, A. G.; Pain, C. C.
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Research Directions

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Co-authors
Cooperation Journals
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