Dear Colleagues and Friends,
In this short course, we will introduce the participants to the latest efforts on data-driven methods for mechanical and material sciences. The course will cover topics on
1. mechanistic data-driven clustering methods, direct and reduced order modeling techniques,
2. physics-informed neural networks, multi-fidelity Gaussian processes,
3. deep material networks and multiscale material failure analysis.
Some benchmarks on nano-polymer composites, polymer matrix composites, additive manufactured alloys will be demonstrated. For more details, please visit the website, http://15.usnccm.org/sc15-005.