How To Train Your Network
Hands-on Course given by Stefano de Gironcoli
Term
2
Credit
4
Start Date
End Date
Room
131
Schedule
Tue: 14:00-16:00
Program
In collaboration with Francesca Menescardi, details to be agreed with interested students
The course is a practical introduction to the Local Atomic Tensors Trainable Expansion and other functionalities of the in-house developed PANNA (Properties from Artificial Neural Network Architectures) for the construction of Machine Learned Interatomic Potentials based on ab-initio data.
An overview of the many alternative approaches that have been developed in recent years and the directions we want to move will be given.