Final Program
Thursday, September 4, 2025
| Time |
Event |
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13:00 - 13:30
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Registration - Registration of participants |
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13:30 - 13:40
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Introduction - Introduction to the 2nd MecaNano Workshop on Machine Learning for Micro- and Nano-Mechanics. |
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13:40 - 15:10
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Tutorial 1: AI methods for material science - Fabio Gasparetti |
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15:10 - 16:40
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Tutorial 2: machine learning for materials characterization - Edoardo Rossi |
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16:40 - 17:00
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Coffee break |
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17:00 - 18:40
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Machine Learning for Mechanical Characterization - Péter Dusán Ispánovity |
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17:00 - 17:20
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Advancing Nanoindentation Data Analysis towards Explainable Machine Learning and Open Science - Claus Trost |
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17:20 - 17:40
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Predicting Plastic Deformation in Crystalline Materials using Acoustic Emission - Balduin Katzer |
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17:40 - 18:00
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Machine learning-based X-ray diffraction line profile analysis for the characterization of compositional libraries of high-entropy alloys - Jenő Gubicza |
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18:00 - 18:40
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Break |
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18:40 - 19:20
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Materials discovery through machine learning - Edoardo Rossi |
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18:40 - 19:00
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Machine Learning-Based Prediction of Mechanical Properties for Additively Manufactured Mo-Re Alloys - Ömer Necati Cora |
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19:00 - 19:20
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Characterization of the Intrinsic Stress Field of High Entropy Alloys Based on Machine Learning - Péter Dusán Ispánovity |
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19:20 - 19:30
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Closing remarks - First day closing remarks and dinner announcements |
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20:00 - 23:00
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Dinner |
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Friday, September 5, 2025
| Time |
Event |
(+)
|
|
09:00 - 09:10
|
Introduction - Introductin to the second day of the MecaNano Workshop |
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09:10 - 10:40
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Tutorial 3: CNNs for damage assessment in steels - Ulrich Kerzel |
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10:40 - 11:00
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Coffee break |
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11:00 - 12:00
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Image Analysis and Computer Vision in Materials Mechanics - Edoardo Rossi |
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11:00 - 11:20
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Machine Learning for Grain-by-Grain Multi-Phase Steel Identification using an Objective Ground Truth - Casper Mornout |
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11:20 - 11:40
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Crack tracking for cyclic crack growth in tungsten fine wires - Hannah Lichtenegger |
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11:40 - 12:00
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Determining the material porosity using the Python programming language - Jelena Lubura Stošić |
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12:00 - 14:00
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Lunch |
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14:00 - 14:40
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Data Integration and Multimodal Analysis - Claus Trost |
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14:00 - 14:20
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Machine Learning Strategies for Micromechanical Phase Classification from Nanoindentation Data - Laia Ortiz-Membrado |
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14:20 - 14:40
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Correlative Microscopy and Nanoindentation: Machine Learning Clustering Methods to Quantify Individual Constituent Properties - Krishna Sarath Kumar Busi |
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14:40 - 15:00
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Advanced Combinatorial Approach to Assess Processing and Enviromental Damage in Titanium Thin Foils - Valerio Savo |
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15:00 - 15:20
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Parameterising a Cahn-Hilliard Model of Plasticity: The Bayesian Pathway - Amit Chattopadhyay |
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15:20 - 15:40
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Group Photo |
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15:40 - 16:00
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Closing Remarks - Event closing remarks |
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