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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Phase Transformations Committee
Organizer(s) Soumya Nag, Oak Ridge National Laboratory
Andrew Bobel, General Motors Corporation
Bharat Gwalani, North Carolina State Universtiy
Jonah Klemm-Toole, Colorado School of Mines
Antonio J. Ramirez, Ohio State University
Matthew Steiner, University of Cincinnati
Scope Structural stability of aerospace and energy related materials, manufactured by conventional and additive routes, is of great importance to avoid catastrophic failures during operation. Understanding their thermo-mechanical response under extreme pressure, temperature or corrosive conditions would immensely aid in designing alloys, and thereby increasing their lifetimes. This symposium delves into investigations,focused on using high throughput tools for accelerated materials discovery and root cause analyses of fielded and new make parts.

The topics of interest to this symposium include, but are not limited to, the following:
•ICME tools coupled with multi-scale experimentation to correlate processing history to microstructural hierarchy and ensuing property response
•ML-based multi objective optimization models targeted towards more reliable and predictive capabilities with realistic (usually small) experimental data
•High throughput experimental approaches for accelerated material-microstructure-property optimizations to facilitate ML.
The focus is on structural high temperature and light-weight materials such as refractory alloys, high entropy alloys, Ni- Co- based alloys, high strength titanium alloys, maraging steels and ODS alloys.

Abstracts Due 07/15/2023
Proceedings Plan Planned:

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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