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...
Päätekijä: | Treder, KP |
---|---|
Muut tekijät: | Kim, J |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
2022
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Aiheet: |
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