About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Thermodynamics and Kinetics
|
| Presentation Title |
Mesocrystals Formation via Spinodal Decomposition |
| Author(s) |
Shiddhartha Ramprakash, Shalini Roy Koneru, Christopher Tandoc, Yong-Jie Hu, Yunzhi Wang |
| On-Site Speaker (Planned) |
Shiddhartha Ramprakash |
| Abstract Scope |
Mesocrystals are distinct microstructural architectures comprising of discrete, single-phase particles arranged in a highly periodic manner, giving rise to long-range ordering within a crystalline matrix. This nanoscale structural heterogeneity makes mesocrystals highly attractive for advanced applications in structural materials, energy storage, and photonics. Conventional synthesis routes—such as epitaxial growth, spatial confinement, and the use of external electric or magnetic fields—are often sophisticated, resource-intensive, and limited in scalability and defect control. In this study, we present a simple and cost-effective strategy for synthesizing bulk mesocrystals with minimal defect content via spinodal decomposition. Using phase-field simulations, we systematically investigate the influence of lattice misfit and elastic modulus mismatch on microstructure evolution. Based on the insights gained from these simulations, we propose an effective approach for designing and stabilizing mesocrystal architectures in systems exhibiting a miscibility gap. The resulting mesoscale structures are expected to exhibit unprecedented mechanical and functional properties. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, Phase Transformations, Computational Materials Science & Engineering |