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Meeting MS&T26: Materials Science & Technology
Symposium Uncertainty Quantification in Ultra-High Temperature Materials Manufacturing
Presentation Title Uncertainty-Guided Experimental Determination of Phase Diagrams
Author(s) Theresa Davey
On-Site Speaker (Planned) Theresa Davey
Abstract Scope High-entropy or compositionally complex ultra-high temperature ceramics, including rocksalt structured MC1-x (where M is an equiatomic or non-equiatomic mixture of metallic elements including Ti, Zr, Hf, Nb, Ta), have recently generated significant interest in their potential tuneable properties. Phase diagrams can provide a useful roadmap for designing mixed carbide systems; however, the complexity of this composition space makes it cumbersome or even impossible to experimentally explore the whole phase diagram. Despite recent strides in the development of theoretical methods for phase diagram calculations, experimental investigation remains essential to validate the predictions for a high-accuracy description. To accelerate the experimental exploration of a mixed carbide system, a preliminary phase diagram is built using first-principles calculations, and its uncertainty is quantified across the composition and temperature space. Guided by this, experimental thermodynamic data is introduced systematically to efficiently reduce the uncertainty, accelerating the determination of a high-accuracy thermodynamic description and phase diagram.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Autonomous Materials Characterization Through Simulation to Experiment Analysis with Continual Deep Learning
Bayesian Design of Experiments for Calphad Modeling
Computational Tools for Predicting High-Temperature Materials Properties via DFT, MD, and Deep Learning
Data to Discovery: A Closed-Loop Ecosystem for Designing Compositionally Complex Alloys
End-to-End Machine Learning for Creep Modeling: Data Processing, Parameter Learning, and Uncertainty Analysis
From Design to Melt: Rare Earth Retention in Ni-Based Superalloys
From Dirty Processing to Enhanced Performance: Hidden Variables for Strength Consistency in UHTCs
Generalization of a Crystal Plasticity Model from Grade 91 to Grade 92 Steel: A Coupled High-Throughput Constitutive Model and Data-Driven Analysis Approach
MXene and Polymer Derived TiC–SiC Ceramics with Enhanced Electrical Conductivity and Tailored Thermal–Mechanical Performance for High-Temperature Applications
UHTM and the Materials R&D Landscape
Uncertainty-Guided Experimental Determination of Phase Diagrams
Uncertainty Quantification of In-Situ Densification of Polymer-Derived Ceramics
Uncertainty Quantification via Deep Kernel Learning on Synchrotron Diffraction Patterns

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