Ionel Michael Navon

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 8

Top Topics

Weather Forecasting

Top Venues

J. Comput. Phys.

J. Comput. Sci.

Publications

Andrew G. Buchan, Ionel Michael Navon, Liang Yang
A reduced order model discretisation of the space-angle phase-space dimensions of the Boltzmann transport equation with application to nuclear reactor problems. J. Comput. Phys. 517 (2024)
Shengjuan Cai, Fangxin Fang, Vincent-Henri Peuch, Mihai Alexe, Ionel Michael Navon, Yanghua Wang
Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet). CoRR (2024)
Meiling Cheng, Fangxin Fang, Ionel Michael Navon, Christopher C. Pain
Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting. J. Comput. Sci. 69 (2023)
Mostafa Abbaszadeh, Mehdi Dehghan, Ionel Michael Navon
A POD reduced-order model based on spectral Galerkin method for solving the space-fractional Gray-Scott model with error estimate. Eng. Comput. 38 (3) (2022)
Claire E. Heaney, Zef Wolffs, Jón Atli Tómasson, Lyes Kahouadji, Pablo Salinas, André Nicolle, Omar K. Matar, Ionel Michael Navon, Narakorn Srinil, Christopher C. Pain
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes. CoRR (2022)
Diana Alina Bistrian, Omer San, Ionel Michael Navon
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning. CoRR (2022)
Shady E. Ahmed, Omer San, Diana Alina Bistrian, Ionel Michael Navon
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations. CoRR (2022)
Gabriel Dimitriu, Razvan Stefanescu, Ionel Michael Navon
Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems. J. Comput. Appl. Math. 310 (2017)
Andrew G. Buchan, A. A. Calloo, Mark G. Goffin, Steven Dargaville, Fangxin Fang, Christopher C. Pain, Ionel Michael Navon
A POD reduced order model for resolving angular direction in neutron/photon transport problems. J. Comput. Phys. 296 (2015)
Razvan Stefanescu, Adrian Sandu, Ionel Michael Navon
POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation. J. Comput. Phys. 295 (2015)
Razvan Stefanescu, Adrian Sandu, Ionel Michael Navon
Comparison of POD reduced order strategies for the nonlinear 2D Shallow Water Equations. CoRR (2014)
Razvan Stefanescu, Adrian Sandu, Ionel Michael Navon
POD/DEIM Strategies for reduced data assimilation systems. CoRR (2014)
Dunhui Xiao, Fangxin Fang, Andrew G. Buchan, Christopher C. Pain, Ionel Michael Navon, Juan Du, G. Hu
Non-linear model reduction for the Navier-Stokes equations using residual DEIM method. J. Comput. Phys. 263 (2014)
Gabriel Dimitriu, Ionel Michael Navon, Razvan Stefanescu
Application of POD-DEIM Approach for Dimension Reduction of a Diffusive Predator-Prey System with Allee Effect. LSSC (2013)
Zhendong Luo, Hong Li, Ping Sun, Jing An, Ionel Michael Navon
A reduced-order finite volume element formulation based on POD method and numerical simulation for two-dimensional solute transport problems. Math. Comput. Simul. 89 (2013)
Razvan Stefanescu, Ionel Michael Navon
POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model. J. Comput. Phys. 237 (2013)
Razvan Stefanescu, Ionel Michael Navon
POD/DEIM Nonlinear model order reduction of an ADI implicit shallow water equations model CoRR (2012)
Ionel Michael Navon, Dacian N. Daescu, Zhuo Liu
The Impact of Background Error on Incomplete Observations for 4D-Var Data Assimilation with the FSU GSM. International Conference on Computational Science (2) (2005)
Bedamati Das, Hagai Meirovitch, Ionel Michael Navon
Performance of hybrid methods for large-scale unconstrained optimization as applied to models of proteins. J. Comput. Chem. 24 (10) (2003)
Canan Baysal, Hagai Meirovitch, Ionel Michael Navon
Performance of efficient minimization algorithms as applied to models of peptides and proteins. J. Comput. Chem. 20 (3) (1999)
X. Zou, Ionel Michael Navon, M. Berger, Paul Kang-Hoh Phua, Tamar Schlick, François-Xavier Le Dimet
Numerical Experience with Limited-Memory Quasi-Newton and Truncated Newton Methods. SIAM J. Optim. 3 (3) (1993)
Ionel Michael Navon, Paul Kang-Hoh Phua, M. Ramamurthy
Vectorization of conjugate-gradient methods for large-scale minimization. SC (1988)