Gregor Kovacic
Affiliations: | Rensselaer Polytechnic Institute, Troy, NY, United States |
Area:
Mathematics, GeophysicsGoogle:
"Gregor Kovacic"Mean distance: 2258.67
Children
Sign in to add trainee| Rafail V. Abramov | grad student | 2002 | RPI |
| Ibrahim Fatkullin | grad student | 2002 | RPI |
| Mehmet K. Baran | grad student | 2003 | RPI |
| Kathryn E. Rasmussen | grad student | 2008 | RPI |
| Victor Barranca | grad student | 2013 | RPI |
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Publications
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| Banks JW, Buckner BB, Henshaw WD, et al. (2020) A high-order accurate scheme for Maxwell's equations with a Generalized Dispersive Material (GDM) model and material interfaces Journal of Computational Physics. 412: 109424 |
| Leisman KP, Zhou D, Banks JW, et al. (2019) Effective dispersion in the focusing nonlinear Schrödinger equation. Physical Review. E. 100: 022215 |
| Barranca VJ, Kovačič G, Zhou D. (2019) The role of sparsity in inverse problems for networks with nonlinear dynamics Communications in Mathematical Sciences. 17: 1291-1311 |
| Angel JB, Banks JW, Henshaw WD, et al. (2019) A high-order accurate scheme for Maxwell's equations with a generalized dispersive material model Journal of Computational Physics. 378: 411-444 |
| Gu QL, Tian ZK, Kovačič G, et al. (2018) The Dynamics of Balanced Spiking Neuronal Networks Under Poisson Drive Is Not Chaotic. Frontiers in Computational Neuroscience. 12: 47 |
| Lee W, Kovačič G, Cai D. (2018) Cascade model of wave turbulence. Physical Review. E. 97: 062140 |
| Li S, Biondini G, Kovačič G, et al. (2018) Resonant optical pulses on a continuous-wave background in two-level active media Epl (Europhysics Letters). 121: 20001 |
| Barranca VJ, Kovačič G, Zhou D, et al. (2016) Improved Compressive Sensing of Natural Scenes Using Localized Random Sampling. Scientific Reports. 6: 31976 |
| Barranca VJ, Kovačič G, Zhou D, et al. (2016) Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamics Neurocomputing. 171: 1313-1322 |
| Newhall KA, Shkarayev MS, Kramer PR, et al. (2015) Synchrony in stochastically driven neuronal networks with complex topologies. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 052806 |