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As part of the design of a new particle accelerator at CERN, a research is conducted to study the challenges and opportunities of multi-stage turbocompressor machines operating with light gases and more specifically with a mixture of helium and neon. First, a 1D stage performance prediction model is implemented and coupled with a genetic algorithm in order to generate an impeller database. Then, a stacking method is developed considering design philosophies and technological limitationsdoi:10.5281/zenodo.3627956 fatcat:y5tx3c7fd5f3xhoqz4ch2qmgnu