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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Hume-Rothery Symposium: Accelerated Measurements and Predictions of Thermodynamics and Kinetics for Materials Design and Discovery
Presentation Title High-Throughput Synthesis, Characterization and Prediction of Metallic Glass Formation
Author(s) John H. Perepezko, Janine Erickson, Dan Thoma, Carter Francis, Paul Voyles, Benjamin Afflerbach, Dane Morgan
On-Site Speaker (Planned) John H. Perepezko
Abstract Scope Materials discovery in metallic glass research is limited by the speed of synthesis and the need for experimental data for any model to predict glass formation. Additive manufacturing (AM) provides cooling rates of 103-104 K/s for bulk metallic glass (BMG) formation. In situ alloying enables rapid synthesis of compositional libraries with larger sample sizes than are provided by combinatorial thin films. As a test of the method, elemental powders were used to synthesize alloys in the known glass-forming system Mg-Cu-Y. With disparate melting temperatures, high reactivity, and dissimilar physical and thermal properties this system presents several challenges for AM. Using a tiered high-throughput characterization system, amorphous material was identified in a region of known BMG formation. In parallel with the AM, machine learning was applied to correlate a large database of critical cooling rates with elemental features to predict a favorable glass forming composition range that was confirmed by experiment.
Proceedings Inclusion? Planned:

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Diffusion Mobility Database for γ/ γ' Co-Superalloys
A Tale of Two Approaches: From Phase Equilibria to Materials Properties
A Thermodynamic and Molar Volume Database for Co-base Superalloys
An Atom-Probe Tomogaphy Study of the Temporal Evolution of Concentration Retention Excesses and Depletions at gamma-f.c.c/gamma-prime-L12 Interfaces in a Ni-Al-Cr-Re Superalloy
An Integrated Computational Materials Engineering (ICME) Framework for Additive Manufacturing (AM) of Ni-based Superalloys
Combinatorial design of high-entropy alloys
Computational Modeling-Assisted Development of Cast Alumina-forming Austenitic Stainless Steels for High Temperature Corrosive Environments
Computational Thermodynamics and its Applications
Design of Cobalt Base Superalloys for 3D Printing
Emerging Capabilities for the High-Throughput Characterization of Structural Materials
Extended Applications of the CALPHAD Simulations
Genomic Materials Design: From CALPHAD Data to Flight
High-throughput experiments and machine learning modeling for designing next generation superalloys
High-Throughput Hot-Isostatic-Pressing Micro-Synthesis for Accelerated Studies of High Entropy Alloys
High-Throughput Synthesis, Characterization and Prediction of Metallic Glass Formation
High-throughput Testing and Characterization of Novel Additive Manufactured Materials
Insights from a Comprehensive Assessment of Diffusion Coefficients of 20 Binary Systems and a Comprehensive Diffusion Mobility Database for Magnesium Alloys
Integrated Predictive Materials Science – Filling the ICME Pipeline
Integration of computational tools and advanced characterization methods to understand phase transformations in additively manufactured steels
Machine Learning-assisted ICME Approaches to Explore the Alloy and Process Space in Metals Additive Manufacturing
Modeling of diffusion and intermetallic phase formation in Al-Mg bimetallic structures
Multi-cell Monte Carlo method for phase prediction
Phase stability and kinetic considerations in materials processing and performance
Phonon Anharmonicity Causes the Large Thermal Expansion of NaBr
Printability and Properties of Metallic Alloys for Laser Powder Bed Fusion Additive Manufacturing
Some properties if the multicomponent diffusivity matrix
Unexpected phenomena observed in metallurgical studies
Visualizing and Rationalizing Synthesis Pathways in Oxides
William Hume-Rothery Award Lecture: High-throughput Measurements of Composition-dependent Properties of Alloy Phases for Accelerated Alloy Design

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