Deep Learning Reaction Network: a machine learning framework for modeling time resolved data
Nicolò Alagna, Brigitta Dúzs, Vincent Dietrich, Ali Tayefeh Younesi, Livia Lehmann, Ronald Ulbricht, Heinz Koeppl, Andreas Walther, Susanne Gerber
The paper introduces DLRN, a deep learning framework that models time-resolved data to extract kinetic reaction networks, time constants, and amplitudes with performance comparable to or better than classical methods.
Communications Chemistry · May 15, 2025Peer-reviewedBiophysics