| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Phase Stability, Phase Transformations, and Reactive Phase Formation in Electronic Materials XXI
|
| Presentation Title |
Mesoscale Simulations Guiding Data-driven Design of Electronic Materials |
| Author(s) |
Anil Kunwar, Johan Hektor, Upadesh Subedi, Nele Moelans |
| On-Site Speaker (Planned) |
Anil Kunwar |
| Abstract Scope |
The reliability of microelectronic devices has been a topic of special interest among the materials scientists and engineers, especially with the advent of Industry 4.0 era. With the ongoing miniaturization of solder joints , phenomena such as electromigration, thermomigration and rapid growth of intermetallics are challenging the functionality of the devices in a more pronounced manner. In order to mitigate these challenges, it is necessary to understand how the field gradients (driving forces) affect the interdiffusion mechanism and subsequently influence the evolution of phases and grains. Mesoscale phase-field simulation can describe the spatial-temporal evolution of microstructures . The data generated from phase field models can be utilized to construct physics-informed machine learning models, which can be further trained to predict several uncertain materials properties associated with electronic materials. Future outlook of such integrated methodology is towards the design of high-entropy solder alloys. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Electronic Materials, Machine Learning, Modeling and Simulation |