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About this Symposium
Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Computational Design and Simulation of Materials (CDSM 2018): Computational Design of Materials
Sponsorship Chinese Society for Metals
Organizer(s) Alan A. Luo, The Ohio State University
Suveen Nigel Mathaudhu, University of California, Riverside
Yong Du, Central South University
Raymundo Arroyave, Texas A & M University
Dianzhong Li, Institute of Metal Research, Chinese Academy of Sciences
Zi-Kui Liu, The Pennsylvania State University
Scope Optimal and robust design of materials involve selection of chemistry and processing for desired microstructure and targeted properties. In addition to tools and databases, uncertainty quantification is central for its broad acceptance—a topic of particular interest for this symposium.

Specific topic areas for abstract submissions include (but are not limited to):

Computational tools for materials design
CALPHAD (CALculation of PHAse Diagrams) and kinetics modeling
Phase-based data repositories
High throughput data creation, data mining, and database development
Materials design for additive manufacturing
Uncertainty quantification of materials design

This symposium is a part of the 2nd International Conference on Computational Design and Simulation of Materials.
Abstracts Due 07/16/2017
Proceedings Plan Planned: Supplemental Proceedings volume
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

A Path Planning Algorithm for Functionally Graded Materials Design
Alloy Design Strategy to Accelerate Nitriding of Fe alloys : A Combined DFT and CALPHAD Study
Application of Computational Thermodynamics in Yittria Stablized Zirconia System
Atomate: A High-level Interface to Generate, Execute, and Analyze Computational Materials Science Workflows
Automated Computer Design of Kinematically Active Molecular Materials
Building a Co Diffusion Mobility Database for γ/γ’ Co-Superalloys
Calphad-type Assessment of the Ni-Ti-Hf System Combined with the DFT Calculations
Computational Design and Simulation of Ultralow Modulus, Hysteresis-free, and Linear Pseudo-elastic Shape Memory Alloy
Computational Design of Metastable Austenite in the Advanced Transformation Induced Plasticity Steels
Computational Microstructure Characterization and Reconstruction for Multi-scale Analysis of Multi-phase AHSS
Computational Thermodynamic and Machine Learning Approach to Accelerate the Design of High-temperature Alloys
Computational Thermodynamics Aided Design of Co-based γ'-strengthened Superalloys
Coupling Void Coalescence Criteria in Finite Element Models: Application to Tensile Test
Design of a New Multi-element Beta Titanium Alloy Based on D-electron Method
Diffusion Couple Experiments to Support the Development of a Diffusion Mobility Database for the Co-Al-W-Ni-Cr-Ta System
Effect of Stability of Critical Phases in Nickel-based Superalloys: Combined Machine Learning and CALPHAD Approach
ICME-Based Computational Materials Genomic Design
Investigation of Order-disorder Transition in Multi-principal-element Alloys
Machine Learning as the "I" in ICME: Integrating Experiment, Simulation, and Theory for Alloy Design
Materials-by-design: A Mechanism-based Approach
Materials Design Simulator for Al-Ce Based Alloys
Microstructure Evolution and Simulation in 22MnB5 Steel during Hot Stamping
Modeling of Solute-dependent Fluidity and Hot Tearing Sensitivity of Conductive Aluminum Alloys
Modelling of Mechanical Behavior at High Strain Rate of TI-6AL-4V Manufactured by Means of Direct Metal Laser Sintering Technique
Multiscale Modeling for Systematic Design of Metallic Microstructures to Provide Resistance to Fatigue and Wear
On the Fly Efficient Global Optimization Techniques to Accelerate Materials Design
On the Gibbs Energies of Stable and Metastable Simple Oxides
Optimizing Elastic Moduli of the Silicate Glasses through High-throughput Atomistic Modeling and Machine Learning Techniques
Predicting Microstructural Evolution in Oxidation Resistant Coatings during Manufacturing and during Degradation in Service
Prediction of the Abrasive Wear Behaviour of Heat Treated Aluminium-clay Composites.
Quantitative Defect Chemistry Analysis of (La1-xCax)yFeO3δ Perovskite
Reduced Order Modelling and Smart Regression Sampling of Energy Landscapes
Searching for Corrosion Resistant Mg Alloys Using Genetic Algorithms
SEGROcalc: A Software Tool for Integrated Computational Grain Boundary Engineering
Separation Oxide and Fluride and Sulfur Gases with Hydrogen in Aluminium Industry by Carbon Nano Tube (Monte Carlo Simulation)
Study on the Effect of Applied Pressure on Directional Dendritic Growth by In-situ Observation
The Fundamental Thermodynamic Investigation on the Grade 91 Alloy
Theoretical Investigation of Vacancy Concentration and its Effect on the Kinetics of B2 – L21 Ordering in Ni-Co-Mn-In MetaMagnetic Shape Memory Alloys
Thermodynamic Database for Co-Al-W-Ni-Ti-Ta-Cr Based Superalloys
Thermodynamic Modeling with Uncertainty Quantification and its Implications for Additive Manufacturing
Thermodynamic Properties of Cu–Pb–F Ternary System
Ultralight Metallic/Composite Materials with Architected Cellular Structures
Uncertainty of Thermodynamic Data for Materials Design
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