Machine Learning Methods and Sustainable Development: Metal Oxides and Multilayer Metal Oxides

Alexey Mikhaylov; Maria Luisa Grilli

doi:10.3390/met12050836

Metals (May 2022)

Machine Learning Methods and Sustainable Development: Metal Oxides and Multilayer Metal Oxides

Alexey Mikhaylov,
Maria Luisa Grilli

Affiliations

Alexey Mikhaylov: Financial Faculty, Financial University under the Government of the Russian Federation, 124167 Moscow, Russia
Maria Luisa Grilli: Energy Technologies and Renewable Sources Department, Italian National Agency for New Technologies Energy and Sustainable Economic Development-ENEA, Casaccia Research Center, Via Anguillarese 301, 00123 Rome, Italy

DOI: https://doi.org/10.3390/met12050836
Journal volume & issue: Vol. 12, no. 5
p. 836

Abstract

Read online

The development of nanotechnologies and new methods of machine learning are responsible for the significant attention and demand for metal oxides and multilayer metal-oxide nanostructures [...]

n/a

Published in Metals

ISSN: 2075-4701 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Mining engineering. Metallurgy
Website: http://www.mdpi.com/journal/metals

About the journal

Abstract

Keywords