Claudio Zeni


Position:
Post-doc
Affiliation:
CM
Email:
[javascript protected email address]
Office:
407
Phone:
+39 040 3787

Research interests

    I am working on machine learning applied to materials science, in particular to generate force fields, to analyse molecular dynamics simulations, and to estimate the computational time required to run ab initio simulations.

    I am also interested in statistical methods for supervised and unsupervised learning.


Claudio Zeni publications