Prof.
Alessio Gagliardi
(Technical University Munich)
4/9/24, 4:00 PM
MLC
Invited talk
Machine learning (ML) is emerging as a new tool for many different fields which now span, among the others, chemistry, physics and material science [1,2]. The idea is to use ML algorithms as a powerful machinery to identify, starting from big data analysis, subtle correlations between simple elemental quantities and complex material properties and then use these to predict them. This approach...
