| Abstract Scope |
To fully realize nano-architectured materials, topological and chemical control are necessary. Unfortunately, the majority of synthesis pathways for these materials geometries are “blind.” This talk presents a step forward toward closed loop manufacturing, leveraging a combination of simulation, machine learning, and processing. The results provide an improvement in spatial and microstructural optimization of melt pools for complex, architected materials produced with laser additive manufacturing. |