| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
8th World Congress on Integrated Computational Materials Engineering (ICME 2025)
|
| Presentation Title |
Multiscale Modeling of Mechanical Deformation in Metal-Matrix Nanocomposites Enabled by Machine Learning |
| Author(s) |
Wenwu Xu, Colin Delaney, Ethan Morrison, Sky Soltero, Marivel Alfaro, Md. Shahrier Hasan |
| On-Site Speaker (Planned) |
Wenwu Xu |
| Abstract Scope |
We present an innovative multiscale modeling framework for Metal-Matrix Nanocomposites (MMNCs), integrating Machine Learning (ML) with Molecular Dynamics (MD) simulations and the Finite Element Method (FEM). This approach effectively captures the mechanical influence of nano-scale inclusions on the macroscopic behavior of MMNCs. Initially, MD simulations are conducted under various conditions to generate a comprehensive dataset reflecting the mechanical responses of MMNCs. This data is subsequently used to train ML models, which enhance the accuracy and computational efficiency of FEM-based analyses. Our method accurately predicts the deformation behavior of MMNCs across scales, showing strong agreement with experimental results and theoretical predictions. By seamlessly bridging atomistic and continuum modeling, this work provides a scalable and robust solution for the analysis of advanced composite materials, advancing the capabilities of predictive modeling in materials science. |
| Proceedings Inclusion? |
Undecided |