Skip to main content

Search

Show all results for

Home

Person

Daniele Giofré

This person is no longer with EPFL

About
Privacy
Disclaimer

Copyright © 2026 EPFL, all rights reserved

Graph Chatbot

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related publications (5)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Early Stages of Precipitation In Aluminum Alloys by First-Principles and Machine-Learning Atomistic Simulations

Daniele Giofré

Age hardening induced by the formation of (semi)-coherent precipitate phases is crucial for the processing and final properties of the widely used Al-6000 alloys despite the early stages of precipitation are still far from being fully understood. This cruc ...

EPFL2018

Automatic selection of atomic fingerprints and reference configurations for machine-learning potentials

Michele Ceriotti, Daniele Giofré, Giulio Imbalzano, Andrea Anelli, Sinja Klees

2018

Neural network potential for Al-Mg-Si alloys

Till Junge, William Curtin, Michele Ceriotti, Daniele Giofré

The 6000 series Al alloys, which include a few percent of Mg and Si, are important in automotive and aviation industries because of their low weight, as compared to steels, and the fact their strength can be greatly improved through engineered precipitatio ...

Amer Physical Soc2017