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About this Symposium
Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Hume-Rothery Symposium: Accelerated Measurements and Predictions of Thermodynamics and Kinetics for Materials Design and Discovery
Sponsorship TMS Structural Materials Division
TMS: Alloy Phases Committee
Organizer(s) Wei Xiong, University of Pittsburgh
Shuanglin Chen, CompuTherm LLC
Wei Chen, Illinois Institute of Technology
James Edward Saal, Citrine Informatics
Greta Lindwall, KTH Royal Institute of Technology
Scope This symposium will be held in honor of the 2021 William Hume-Rothery Award recipient, JC Zhao, in recognition of his development of groundbreaking methodologies for systematic measurements of phase-based properties for the understanding of a very large number of alloy systems. The goal of the symposium is to assess the current state of the art in experimental measurements and first-principles calculations of phase-based properties, especially thermodynamic and kinetic properties, which are essential information for computational alloy design and process optimization. High-throughput experimental and computational methods are key for the timely establishment of databases of phase-based properties for ICME (Integrated Computational Materials Engineering). The close integration of experimental and computational approaches, especially with the help of materials informatics and machine learning (data analytics) tools, is becoming increasingly effective in both database establishment and computational alloy design. One of the awardee’s passions is industrial applications of novel methodologies and databases in designing new alloys for real-world impact. This symposium will provide an overview of the state-of-the-art methodologies for high-throughput experimentation, accurate property predictions, integration of experimental and computational approaches, and real-world applications of new tools for materials design and discovery.

The presentations in this symposium are by invitation only.

The topics will cover:
Computational thermodynamics and diffusion kinetics.
High-throughput and accelerated experimentation
First-principles calculations of phase-based properties
Materials informatics and machine learning tools
Materials genome and ICME methods
Accelerated materials design for advanced manufacturing
Abstracts Due 07/20/2020
Proceedings Plan Planned:
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

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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