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

9:00 - 9:10 (10min)

Introduction

Introductin to the second day of the MecaNano Workshop

9:10 - 10:40 (1h30)

Tutorial 3: CNNs for damage assessment in steels

Ulrich Kerzel

10:40 - 11:00 (20min)

Coffee break

11:00 - 12:00 (1h)

Image Analysis and Computer Vision in Materials Mechanics

Edoardo Rossi

11:00 - 11:20 (20min)

Machine Learning for Grain-by-Grain Multi-Phase Steel Identification using an Objective Ground Truth

Casper Mornout

11:20 - 11:40 (20min)

Crack tracking for cyclic crack growth in tungsten fine wires

Hannah Lichtenegger

11:40 - 12:00 (20min)

Determining the material porosity using the Python programming language

Jelena Lubura Stošić

12:00 - 14:00 (2h)

Lunch

14:00 - 14:40 (40min)

Data Integration and Multimodal Analysis

Claus Trost

14:00 - 14:20 (20min)

Machine Learning Strategies for Micromechanical Phase Classification from Nanoindentation Data

Laia Ortiz-Membrado

14:20 - 14:40 (20min)

Correlative Microscopy and Nanoindentation: Machine Learning Clustering Methods to Quantify Individual Constituent Properties

Krishna Sarath Kumar Busi

14:40 - 15:00 (20min)

Advanced Combinatorial Approach to Assess Processing and Enviromental Damage in Titanium Thin Foils

Valerio Savo

15:00 - 15:20 (20min)

Parameterising a Cahn-Hilliard Model of Plasticity: The Bayesian Pathway

Amit Chattopadhyay

15:20 - 15:40 (20min)

Group Photo

15:40 - 16:00 (20min)

Closing Remarks

Event closing remarks

Final Program