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We introduce a cellular automata methodology for studying the photonics of light-induced phase transitions. A model governed by a sparse set of evolutionary rules successfully describes the complex, non-stationary, spatially inhomogeneous dynamics and nonlinear optical properties of a medium undergoing a light-induced structural transition.
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Liwei Zhang, Kevin F. MacDonald, Nikolay I. Zheludev, "Phase-change optical nonlinearity as a cellular automaton," Proc. SPIE 11796, Active Photonic Platforms XIII, 1179624 (1 August 2021); https://doi.org/10.1117/12.2594893