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Janis Bajars
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2020 – today
- 2023
- [j6]Juan F. R. Archilla
, Janis Bajars
:
Spectral Properties of Exact Polarobreathers in Semiclassical Systems. Axioms 12(5): 437 (2023) - [j5]Janis Bajars
:
Locally-symplectic neural networks for learning volume-preserving dynamics. J. Comput. Phys. 476: 111911 (2023) - [c1]Janis Bajars
:
Dimensionality Reduction with Proper Symplectic Decomposition for Learning Hamiltonian Dynamics. NUMTA (2) 2023: 3-18 - 2021
- [i2]Janis Bajars:
Locally-symplectic neural networks for learning volume-preserving dynamics. CoRR abs/2109.09151 (2021) - [i1]Janis Bajars, Filips Kozirevs:
Data-driven intrinsic localized mode detection and classification in one-dimensional crystal lattice model. CoRR abs/2110.12870 (2021) - 2020
- [j4]Janis Bajars
, David J. Chappell
:
Modelling uncertainties in phase-space boundary integral models of ray propagation. Commun. Nonlinear Sci. Numer. Simul. 80: 104973 (2020)
2010 – 2019
- 2018
- [j3]Janis Bajars
, David J. Chappell
:
A boundary integral method for modelling vibroacoustic energy distributions in uncertain built up structures. J. Comput. Phys. 373: 130-147 (2018) - 2017
- [j2]Janis Bajars
, David J. Chappell
, Niels Søndergaard, Gregor Tanner
:
Transport of phase space densities through tetrahedral meshes using discrete flow mapping. J. Comput. Phys. 328: 95-108 (2017) - [j1]Janis Bajars
, David J. Chappell
, Timo Hartmann, Gregor Tanner
:
Improved Approximation of Phase-Space Densities on Triangulated Domains Using Discrete Flow Mapping with p-Refinement. J. Sci. Comput. 72(3): 1290-1312 (2017)
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