Automated analysis of heterogeneous catalyst materials using deep learning
<p>Heterogeneous catalyst materials play a key role in modern society, as many processes in the chemical and energy industry rely on them. Optimising their performance is directly connected to a large potential of reductions in energy consumption, and thus to a more sustainable future. A funda...
Hoofdauteur: | Treder, KP |
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Andere auteurs: | Kim, J |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
2022
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Onderwerpen: |
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