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In the field of chemical analysis, prediction of features, properties, is often done from spectra base on simple neuralnetwork and some AI models.

But conversely, what methods are implemented to generate spectra from features, properties, LSTM, RNN are applied to time series, but I can't find examples of application to spectra, so I was wondering if they are available? I am puzzled.

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