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Meeting 2020 TMS Annual Meeting & Exhibition
Symposium Materials Design Approaches and Experiences V
Presentation Title Alloy Design Through Sequential Learning
Author(s) James Edward Saal
On-Site Speaker (Planned) James Edward Saal
Abstract Scope The state-of-the-art of alloy design relies on physical models and databases to map out the processing-structure-property relationships responsible for materials performance. Successful application of this approach to alloys has been demonstrated in steels, superalloys, and other structural alloys with an extensive history of development. However, alloy classes without such history lack accurate models or populated datasets to enable design. In such applications, materials informatics can accelerate the design workflow. Machine learning models can be trained on existing, sparsely populated data to derive correlation between processing-structure-properties in the absence of mechanistic understanding. An iterative process called sequential learning uses these machine learning models to identify the best experiments to perform to reduce model uncertainty and/or identify the highest-performing materials. Citrine’s experience using sequential learning to design alloys will be discussed, including the use cases of high entropy alloys (HEAs) for structural applications and thermoelectric half-Heusler solid solutions.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Accelerated Design of High-temperature Alloys with Data Analytics and Supercomputing
Accelerated Materials Design Strategy for Additive Manufacturing at Access e.V.
Alloy Design Through Sequential Learning
Application of Computational Tools in Designing Ni-base Single-crystal Superalloys
Design of Cobalt Base Single Crystal Superalloys
Design of Ni-Co-Ru Multi-principal Elements Alloys
Design Principles for Complex, Concentrated Alloys (CCAs)
Designing for Local Phase Transformation Strengthening in Nickel Based Superalloys
Development of Cast Alumina-forming Austenitic Stainless Steels and their Implementation In High Temperature Industrial Applications
Development of HAYNES® 233® Alloy
Development of Ni-based Alloys For Transportation Applications
Development of Nuclear Grade Wrought FeCrAl Alloys for Accident Tolerant Fuel Cladding
Domain-guided ML Tool for Designing New Fe-9Cr Steels
Effect of Vibration on Residual Stress of a Stiffened Steel Plate During Welding: A Numerical Study
Equilibrium Segregation and Localized Phase Transition at Stacking Faults in Ni-based Superalloys
Further Developments of CALPHAD Based Tools for Accelerating Alloy Design
Genomic Materials Design: Making CyberSteels Fly
High-throughput CALPHAD Calculation for Accelerated Materials Design
Improved 3rd Generation Single Crystal Superalloy CMSX-4® Plus (SLS) – a Study of Evolutionary Alloy Development
Interface based Alloy Design
L-28 (Invited): Integrated Study of First-principles Calculations and Experimental Measurements for Hydrogen Effect on FCC to HCP Martensitic Transformation
Material and Process 4.0: Model-Based Material and Process Development
Materials Discovery and Design using Heritage Data
Materials Parameters in Designing FCC High-entropy Alloys
Materials, Manufacturing, and Design: Perspectives on New and Nascent Techniques
Microstructural Design for Advanced Aluminium and Magnesium Alloys
Microstructure and Cracking Susceptibility of Continuously Cast Slabs of 3rd Generation Advanced High Strength Steels
New Alloy Design Strategy via Non-conventional Phase Transformation Pathways
Non-equilibrium Interfacial Solute Segregation as a Thermal Stabilization Mechanism in Al-Cu Alloys
On the Use of Multiscale Modeling Strategies to Design Precipitation-hardened Al Alloys
Oxidation Resistant Refractory Metal High Entropy Alloys for Ultrahigh Temperature Structural Applications
Precipitate-mediated Dislocation Transformer in Ni-base Superalloys
Strength Prediction in a Quaternary Mg Alloy System Using a Multi-scale Optimization Framework
Synergistic Nano-precipitation in Mn-stabilized Austenitic Steels
The FaMUS Methodology for Quantify Materials Understanding and Its Application to the NSUF Research Portfolio

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