Year: 2025
Type: article
Abstract: Modern trends in the application of artificial intelligence to materials science have been identified, which use the growing availability of computer processing power and large databases of materials to discover new nextgeneration materials while reducing the time and cost of their development.Machine learning and deep learning artificial neural networks have been found to be the most popular approaches for extracting knowledge from large databases of materials and are considered as innovative means for successfully designing innovative new generation materials that address modern socio-economic and environmental challenges of society.
Source: Věda a perspektivy
Author: Iurii Nikitin
Institution: V. Bakul Institute for Superhard Materials
Language: Czech
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411074716