Fakultät für Mathematik und Naturwissenschaften

Machine Learning

ML plays a crucial role by enabling the development of predictive models that can efficiently analyze complex chemical data

Current projects

Gaussian Process Regression

GPR can be employed in NMR for predicting chemical shifts, deconvoluting overlapping peaks, and optimizing experimental parameters.

Leonie’s project

Automate complex calculations, simulate chemical processes, analyze large data sets, accelerate research and improve understanding of chemical systems.

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