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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Presentation Title High-throughput Synthesis and Mechanical Characterization of Sputtered Metallic Alloys
Author(s) Adie Alwen, Vignesh Manoharan, Andrea Hodge
On-Site Speaker (Planned) Adie Alwen
Abstract Scope This work seeks to expedite alloy discovery by using combinatorial and high-throughput synthesis and characterization to develop material libraries that link alloy composition, microstructure, and mechanical properties. To correlate alloying with changes in material characteristics, binary and ternary alloys are investigated by co-sputtering thin films with compositional gradients, creating 169 distinct samples per sputtering run. Material libraries are generated by characterizing each sample’s composition, morphology, texturing, and mechanical properties. To identify compositions of interest and elucidate relationships between material properties, data from the material libraries is analyzed and used to train machine learning models. Using this information, alloys with novel material properties are selected and further investigated using TEM. In total, the material property space for a ternary alloy is explored and compared to binary alloys in order to understand the effects of alloying on material characteristics and microstructure.
Proceedings Inclusion? Planned:
Keywords Characterization, Thin Films and Interfaces, Mechanical Properties

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Design Space for Tunable Ceramic-polymer Composites
A Diffusion Couple Approach to β-Ti Alloy Development: Evaluating the Oxidation Performance of Ti-Fe-X+ Alloys
A High-throughput Setup for Materials Exposure to Simultaneous Irradiation-corrosion Conditions
Accelerated Discovery of Novel Titanium Alloys using High-throughput Manufacturing, Characterization and Testing
Accelerating Multimodal Data Collection: A Workflow for Metallic Films
AI and Machine Learning Tools for Development and Analysis of Image Driven 2D Materials
Combinatorial Mechanical Microscopy via Correlated Nanoindentation and EDX Mapping
Computational Design of an Ultra-strong High-entropy Alloy
Computational Design of High Entropy Alloy Hardmetals
Design of a Compact Morphology Cobalt-based Superalloy for Additive Manufacturing
Efficient Conductivity and Hardness Optimization in Cu-Ag-Ni Alloys using Bayesian Active Learning
High-throughput Electric-Field-assisted Sintering and Characterization Techniques for Materials Discovery
High-throughput Prediction of Fracture and Brittle to Ductile Transition in Tungsten using Variable Temperature Nanoindentation
High-throughput Synthesis and Mechanical Characterization of Sputtered Metallic Alloys
How Should You Select an Algorithm for a Materials Discovery Campaign with Multiple Objectives, Complex and High-dimensional Structure-processing-property Relationships, and a Small Adaptive Design Budget?
Machine Learning-assisted Discovery of Novel High Temperature Ni-rich NiTiHfZr Multi-component Shape Memory Alloys
Rapid Characterisation of Active Slip Systems in Titanium Ordered-bcc Compounds using an Algorithm for Automated Indentation Slip Trace Analysis.
Using Machine Intuitive Learning to Predict Advanced Steel Properties

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