WG4: Machine Learning

Scope and Objectives of WG4 on Machine Learning

Scope:
WG4 aims to integrate machine learning into nanomechanical testing and nanocharacterization to increase data analysis efficiency, improve accuracy, and reveal new insights in materials science.

Objectives:

1. Promote Machine Learning Adoption:
   Provide training, tutorials, and hands-on resources to help researchers apply machine learning techniques in their work.
2. Enhance Nanocharacterization Efficiency:
   Apply machine learning to optimize data extraction and interpretation in nanocharacterization, making the process faster and more accurate.
3. Advance Nanomechanical Testing:
   Use machine learning to predict material properties and behaviors based on nanomechanical data, improving experimental outcomes and analysis depth.

Tasks:

Task 4.1 Disseminate mainstream machine learning techniques in the community (milestone 4)

Task 4.2 Identify applications of ML with high efficiency gains for nanocharacterization

Task 4.3 Identify applications of ML with high efficiency gains for nanomechanical testing.