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13 March 2024 Laser-induced surface organization on the nanoscale guided by machine learning
Jean-Philippe Colombier, Eduardo Brandao, Anthony Nakhoul, Rémi Emonet, Amaury Habrard, Florence Garrelie, François Jacquenet, Florent Pigeon, Marc Sebban
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Proceedings Volume PC12873, Laser-based Micro- and Nanoprocessing XVIII; PC128730D (2024) https://doi.org/10.1117/12.3000894
Event: SPIE LASE, 2024, San Francisco, California, United States
Abstract
Understanding spontaneous pattern emergence on laser-irradiated materials is a long-standing interest. Periodic surface structures arise from multiphysical coupling: electromagnetics, nonlinear optics, plasmonics, fluid dynamics, or thermochemical reactions. Multi-shot irradiation with ultrafast laser pulses generates stable periodic patterns arising from localized perturbations influenced by disturbances and nonlinear saturation. Describing pattern growth requires nonlinear dynamics beyond classic equations. The challenge is developing an efficient model with symmetry breaking, scale invariance, stochasticity, and nonlinear properties to reproduce dissipative structures. Stochastic Swift-Hohenberg modeling replicates hydrodynamic fluctuations near the convective instability threshold, inherent in laser-induced self-organized nanopatterns. We will demonstrate that a deep convolutional networks can learn pattern complexity, connecting model coefficients to experimental parameters for designing specific patterns. The model predicts patterns accurately, even with limited non-time series data. It identifies laser parameter regions and could predict novel patterns independently.
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Jean-Philippe Colombier, Eduardo Brandao, Anthony Nakhoul, Rémi Emonet, Amaury Habrard, Florence Garrelie, François Jacquenet, Florent Pigeon, and Marc Sebban "Laser-induced surface organization on the nanoscale guided by machine learning", Proc. SPIE PC12873, Laser-based Micro- and Nanoprocessing XVIII, PC128730D (13 March 2024); https://doi.org/10.1117/12.3000894
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KEYWORDS
Machine learning
Natural surfaces
Laser irradiation
Ultrafast phenomena
Complex systems
Materials properties
Modeling
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