2nd MecaNano Workshop on Machine Learning for Micro- and Nano-Mechanics

13:00 - 13:30 (30min)

Registration

Registration of participants

13:30 - 13:40 (10min)

Introduction

Introduction to the 2nd MecaNano Workshop on Machine Learning for Micro- and Nano-Mechanics.

13:40 - 15:10 (1h30)

Tutorial 1: AI methods for material science

Fabio Gasparetti

15:10 - 16:40 (1h30)

Tutorial 2: machine learning for materials characterization

Edoardo Rossi

16:40 - 17:00 (20min)

Coffee break

17:00 - 18:40 (1h40)

Machine Learning for Mechanical Characterization

Péter Dusán Ispánovity

17:00 - 17:20 (20min)

Advancing Nanoindentation Data Analysis towards Explainable Machine Learning and Open Science

Claus Trost

17:20 - 17:40 (20min)

Predicting Plastic Deformation in Crystalline Materials using Acoustic Emission

Balduin Katzer

17:40 - 18:00 (20min)

Machine learning-based X-ray diffraction line profile analysis for the characterization of compositional libraries of high-entropy alloys

JenÅ‘ Gubicza

18:00 - 18:40 (40min)

Break

18:40 - 19:20 (40min)

Materials discovery through machine learning

Edoardo Rossi

18:40 - 19:00 (20min)

Machine Learning-Based Prediction of Mechanical Properties for Additively Manufactured Mo-Re Alloys

Ömer Necati Cora

19:00 - 19:20 (20min)

Characterization of the Intrinsic Stress Field of High Entropy Alloys Based on Machine Learning

Péter Dusán Ispánovity

19:20 - 19:30 (10min)

Closing remarks

First day closing remarks and dinner announcements

20:00 - 23:00 (3h)

Dinner

Final Program