| Radiative heat transfer between two dielectric nanogratings in the scattering approach J Lussange, R Guérout, FSS Rosa, JJ Greffet, A Lambrecht, S Reynaud Physical Review B—Condensed Matter and Materials Physics 86 (8), 085432, 2012 | 123 | 2012 |
| Enhanced radiative heat transfer between nanostructured gold plates R Guérout, J Lussange, FSS Rosa, JP Hugonin, DAR Dalvit, JJ Greffet, ... Journal of Physics: Conference Series 395 (1), 012154, 2012 | 120 | 2012 |
| Casimir force on a surface with shallow nanoscale corrugations: Geometry and finite conductivity effects Y Bao, R Guérout, J Lussange, A Lambrecht, RA Cirelli, F Klemens, ... Physical review letters 105 (25), 250402, 2010 | 91 | 2010 |
| Modelling stock markets by multi-agent reinforcement learning J Lussange, I Lazarevich, S Bourgeois-Gironde, S Palminteri, B Gutkin Computational Economics 57 (1), 113-147, 2021 | 58 | 2021 |
| Thermal Casimir force between nanostructured surfaces R Guérout, J Lussange, HB Chan, A Lambrecht, S Reynaud Physical Review A—Atomic, Molecular, and Optical Physics 87 (5), 052514, 2013 | 51 | 2013 |
| Casimir energy between nanostructured gratings of arbitrary periodic profile J Lussange, R Guérout, A Lambrecht Physical Review A—Atomic, Molecular, and Optical Physics 86 (6), 062502, 2012 | 27 | 2012 |
| A bright future for financial agent-based models J Lussange, A Belianin, S Bourgeois-Gironde, B Gutkin arXiv preprint arXiv:1801.08222, 2018 | 7 | 2018 |
| Stock price formation: Precepts from a multi-agent reinforcement learning model J Lussange, S Vrizzi, S Bourgeois-Gironde, S Palminteri, B Gutkin Computational Economics 61 (4), 1523-1544, 2023 | 6 | 2023 |
| Continuous homeostatic reinforcement learning for self-regulated autonomous agents H Laurençon, CR Ségerie, J Lussange, BS Gutkin arXiv preprint arXiv:2109.06580, 2021 | 6 | 2021 |
| Learning and cognition in financial markets: A paradigm shift for agent-based models J Lussange, A Belianin, S Bourgeois-Gironde, B Gutkin Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021 | 6 | 2021 |
| Mesoscale impact of trader psychology on stock markets: a multi-agent AI approach J Lussange, S Palminteri, S Bourgeois-Gironde, B Gutkin arXiv preprint arXiv:1910.10099, 2019 | 5 | 2019 |
| 3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction J Lussange, M Yu, Y Tarabalka, F Lafarge arXiv preprint arXiv:2307.05409, 2023 | 3 | 2023 |
| Stock price formation: useful insights from a multi-agent reinforcement learning model J Lussange, S Bourgeois-Gironde, S Palminteri, B Gutkin arXiv preprint arXiv:1910.05137, 2019 | 3 | 2019 |
| Stock market microstructure inference via multi-agent reinforcement learning J Lussange, I Lazarevich, S Bourgeois-Gironde, S Palminteri, B Gutkin arXiv preprint arXiv:1909.07748, 2019 | 2 | 2019 |
| Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study J Lussange, S Vrizzi, S Palminteri, B Gutkin Plos one 19 (4), e0301141, 2024 | 1 | 2024 |
| Modelling crypto markets by multi-agent reinforcement learning J Lussange, S Vrizzi, S Palminteri, B Gutkin arXiv preprint arXiv:2402.10803, 2024 | | 2024 |
| Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL): Towards Biological Self-Autonomous Agent H Laurencon, Y Bhargava, R Zantye, CR Ségerie, J Lussange, V Baths, ... arXiv preprint arXiv:2401.08999, 2024 | | 2024 |
| Order book regulatory impact on stock market quality: a multi-agent reinforcement learning perspective J Lussange, B Gutkin arXiv preprint arXiv:2302.04184, 2023 | | 2023 |
| RAPID COMMUNICATIONS-Dynamics, dynamical systems, lattice effects-Enhanced radiative heat transfer between nanostructured gold plates (4 pages) 180301 (R) R Guérout, J Lussange, FSS Rosa, JP Hugonin, DAR Dalvit, JJ Greffet, ... Physical Review-Section B-Condensed Matter 85 (18), 2012 | | 2012 |
| The Casimir energy and radiative heat transfer between nanostructured surfaces JA Lussange Paris 6, 2012 | | 2012 |
