Energy and Process Systems Engineering LaboratoryOpen OpportunitiesThis thesis focuses on fully automating the evaluation of Raman spectra in a self-driven thermodynamics lab to accelerate the development of sustainable chemical processes or novel heat pump concepts. By integrating Machine Learning (ML) with advanced spectral evaluation algorithms, the aim is to achieve complete lab autonomy. The methodology combines data-driven and physically-based approaches, including synthetic spectrum generation for ML training. - Biomedical Engineering, Chemical Engineering, Mechanical and Industrial Engineering, Physical Chemistry, Physics
- Master Thesis
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