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Multi-speciation using a tunable laser and deep neural networks

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Abstract

Selective and simultaneous multi-speciation during high-temperature fuel pyrolysis was achieved with a single 3.3 µm DFB-ICL. The approach is based on wavelength tuning and deep denoising autoencoders (DDAEs) to distinguish the broadband absorbance spectra of evolving species during fuel pyrolysis in a shock tube.

© 2023 The Author(s)

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