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Meeting 2022 TMS Annual Meeting & Exhibition
Symposium Frontiers of Materials Award Symposium Session: Data-Driven, Machine-learning Augmented Design and Novel Characterization for Nano-architectured Materials
Presentation Title Intelligent Design of Additively Manufactured Architected Materials
Author(s) Mitra L. Taheri
On-Site Speaker (Planned) Mitra L. Taheri
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.
Proceedings Inclusion? Undecided


Accelerated Discovery of Multi-phase Refractory Alloys through Machine Learning Surrogate Models of CALPHAD
Autonomous X-ray Scattering for the Study of Non-equilibrium Self-assembly
Designing Nano-architectured Materials with a Machine-learning Augmented Framework
Discovery of Nanocomposite Phase Change Memory Materials via Closed-loop Autonomous Combinatorial Experimentation
Intelligent Design of Additively Manufactured Architected Materials
Machine Learning Based Hierarchical Multi-scale Modeling of Mechanical Deformation for Metal-matrix-nano-composites
Volumetric Nanoscale Imaging of DNA-assembled Nanoparticle Superlattices
“Big Data” Characterization of Material Properties and High Temperature Kinetics

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