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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Presentation Title High-throughput Exploration of Nanotwin Synthesis Domains
Author(s) Adie Alwen, Andrea M Hodge
On-Site Speaker (Planned) Adie Alwen
Abstract Scope Materials containing nanoscale twin boundaries (nanotwins) have demonstrated enhanced properties including increased strength, ductility, and thermal stability. However, the current nanotwin compositional synthesis space is limited by the prohibitively large task of determining a material’s stacking fault energy (SFE). This work seeks to circumvent SFE limitations and expedite discovery of nanotwinned alloys by developing a high-throughput methodology that can screen large composition spaces for nanotwin formation. Cu based alloy systems were investigated by co-sputtering films with compositional gradients, yielding 169 unique samples per experiment. Material libraries were generated using high-throughput EDX, SEM, XRD, four-point probe, and nanoindentation to analyze each sample’s composition, morphology, texturing, resistivity, and mechanical properties. To elucidate interconnected relationships between nanotwinning, composition, and the other material properties, specific compositions were further analyzed with TEM. Overall, the results of this study highlight that a high-throughput methodology can be utilized to further explore and expand nanotwin synthesis domains.
Proceedings Inclusion? Planned:
Keywords Characterization, Other, Mechanical Properties

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Accelerated Computational Insertion of Structural Materials
Accelerating Materials Discovery of HEA’s through Constraint Based High Throughput Design, Synthesis and Batch Bayesian Optimization Framework
Amorphous to Crystalline: High-throughput Thermal Stability Investigation on IV- and V- group Refractory High-entropy Alloy Systems
An Experimental High Throughput to High Fidelity Study Towards Discovering Al-Cr Containing Corrosion-resistant Compositionally Complex Alloys
Computational Design of Complex Concentrated Alloys for Nuclear Applications
Design of Alloys Resistant to Molten Salt Corrosion via Machine Learning and Optimization Algorithms
Energy Absorption Properties of Filled and Unfiled Lattice Materials under Impact Loading
High-throughput Exploration of Nanotwin Synthesis Domains
High Throughput Exploration and Optimization of the Mechanical Properties of FCC Complex Concentrated Alloys for Extreme Conditions
Interoperable Batch Bayesian Optimization Techniques for Efficient Property Discovery of Metals
Laser-scanning of Arc-melted Al Alloys: Are They Representative of Additively Manufactured Ones
Machine Learning-CALPHAD Assisted Design of L12-strengthened Ni-Al-Co-Cr-Fe-Ti Complex Concentrated Superalloy for Multi-property Optimization
Machine Learning and CALPHAD Assisted Design of High Performance Structural High Entropy Alloys
Navigating the BCC-B2 Refractory Alloy Space: Stability and Thermal Processing with Ru-B2 Precipitates
Novel High-temperature Zirconium Alloys for Fusion Applications
Physics-informed Creep Rupture Life Modeling of High Temperature Alloys for Energy Applications
Prevention of Strain Age Cracking in Additively Manufactured, High-temperature Superalloys

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