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Faculty of Biology, Chemistry & Earth Sciences

Prof. Dr. Margraf – Physical Chemistry V: Theory and Machine Learning

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New paper on machine learning for vibrational spectra

In a collaboration with MIT and Cambridge University, Nils and Martin have contributed their methodological insights in automatic differentiation and charge equilibration to a new paper on the prediction of molecular infrared spectra. ML foundation models beat semiempirical Hamiltonians in this task, offering unprecedented accuracy for low computational effort.

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