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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Presentation Title Computational Design of Complex Concentrated Alloys for Nuclear Applications
Author(s) Koutheir Riahi, Anna Fraczkiewicz, Franck Tancret
On-Site Speaker (Planned) Koutheir Riahi
Abstract Scope The implementation of future nuclear molten salt reactors (MSRs) faces challenges related to the discovery and availability of materials capable of withstanding extreme operating conditions, such as resistance to irradiation, creep, and corrosion at temperatures ranging from 500 to 800°C. The objective of this work is to design complex concentrated alloys (CCAs) that are cobalt-free to avoid its activation into 60Co and meet the operational requirements of a MSR. The first step involved designing physical models for creep (relying on both precipitation strengthening and diffusion) and corrosion resistance (achieved via the formation of a protective alumina layer). Improvement in irradiation resistance is approached through the exploration of a "high-entropy" matrix. These models have been subsequently integrated into a genetic algorithm to design new compositions of alloys, based on the targeted properties. Three selected materials have been manufactured by induction cold crucible melting and characterized to validate our approach.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, High-Entropy Alloys, Nuclear Materials

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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