Automated analysis of heterogeneous catalyst materials using deep learning

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...

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Dades bibliogràfiques
Autor principal:	Treder, KP
Altres autors:	Kim, J
Format:	Thesis
Idioma:	English
Publicat:	2022
Matèries:	Heterogeneous catalysis Nanoparticles Deep learning (Machine learning) Transmission electron microscopy Computer vision

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