A structure-preserving neural network method identifies nonlinear port-Hamiltonian systems from input-state-output data, improving long-term forecasting over physics-free baselines.
Neon tetra fish (Paracheirodon innesi) as farm-to-optical-table Bragg reflectors
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abstract
Iridophore networks in the skin of neon tetra fish are investigated for use as biologically sourced, tunable, Bragg reflector arrays. This paper reports on a method for immediate and fast post-processing of tissue to modify the structural color of iridophores found in the lateral color stripe. Conditions for fixation as well as the environment post-fixation to improve longevity of the structural color are also presented. Recent results from attempts to further increase the lifetime of post-mortem iridophore color through infiltration and embedding in low-acid glycol methacrylate are also discussed.
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Nonlinear port-Hamiltonian system identification from input-state-output data
A structure-preserving neural network method identifies nonlinear port-Hamiltonian systems from input-state-output data, improving long-term forecasting over physics-free baselines.