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Lorenzo Campoli
Lorenzo Campoli
Research Fellow, University of Melbourne
Bestätigte E-Mail-Adresse bei unimelb.edu.au - Startseite
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Zitiert von
Zitiert von
Jahr
Models validation and code profiling in state-to-state simulations of shock heated air flows
L Campoli, O Kunova, E Kustova, M Melnik
Acta Astronautica 175, 493-509, 2020
492020
Unsteady shock‐fitting for unstructured grids
A Bonfiglioli, R Paciorri, L Campoli
International Journal for Numerical Methods in Fluids 81 (4), 245-261, 2016
372016
KAPPA: Kinetic approach to physical processes in atmospheres library in C++
L Campoli, GP Oblapenko, EV Kustova
Computer Physics Communications 236, 244-267, 2019
222019
Numerical investigation of viscous fingering phenomenon for raw field data
F Bakharev, L Campoli, A Enin, S Matveenko, Y Petrova, S Tikhomirov, ...
Transport in Porous Media 132, 443-464, 2020
182020
Assessment of machine learning methods for state-to-state approach in nonequilibrium flow simulations
L Campoli, E Kustova, P Maltseva
Mathematics 10 (6), 928, 2022
112022
UnDiFi-2D: An unstructured discontinuity fitting code for 2D grids
L Campoli, A Assonitis, M Ciallella, R Paciorri, A Bonfiglioli, M Ricchiuto
Computer Physics Communications 271, 2021
112021
Shock-fitting and predictor-corrector explicit ale residual distribution
L Campoli, P Quemar, A Bonfiglioli, M Ricchiuto
Shock Fitting: Classical Techniques, Recent Developments, and Memoirs of …, 2017
92017
Development of an unsteady shock-fitting technique for unstructured grids
A Bonfiglioli, R Paciorri, L Campoli, V De Amicis, M Onofri
30th International Symposium on Shock Waves 2: ISSW30-Volume 2, 1501-1504, 2017
32017
Unstructured shock-fitting calculations of transonic turbo-machinery flows
A Bonfiglioli, R Paciorri
11 th European Conference on Turbomachinery Fluid dynamics & Thermodynamics, 2015
32015
An unsteady shock-fitting technique for unstructured grids
A Bonfiglioli, R Paciorri, L Campoli
6th. European Congress on Computational Fluid Dynamics (ECFD VI), 4864-4872, 2014
32014
Machine learning methods for state-to-state approach
L Campoli
AIP Conference Proceedings 2351 (1), 2021
22021
Assessment of machine learning methods for state-to-state approaches
L Campoli, E Kustova, P Maltseva
arXiv preprint arXiv:2104.01042, 2021
2021
Machine Learning for State-to-State
L Campoli
IX Поляховские чтения, 262-263, 2021
2021
Overview and perspectives of KAPPA library
L Campoli, GP Oblapenko, EV Kustova
AIP Conference Proceedings 2132 (1), 2019
2019
On the Implementation of the Software Library Kappa and its Interface with COOLFluiD
L Campoli, OV Kunova, EV Kustova, MA Mekhonoshina, GP Oblapenko, ...
Восьмые Поляховские чтения, 164-165, 2018
2018
An unsteady Shock-fitting technique for unstructured grids
M Onofri, R Paciorri, L Campoli, A Bonfiglioli
21st International Shock Interaction Symposium, 38-41, 2014
2014
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