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About this Symposium
Meeting 2016 TMS Annual Meeting & Exhibition
Symposium Computational Materials Discovery and Optimization: From 2D to Bulk Materials
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Computational Materials Science and Engineering Committee
Organizer(s)
Houlong Zhuang, Princeton University
Dallas R. Trinkle, University of Illinois Urbana Champaign
Eric R. Homer, Brigham Young University
Scope Advances in theoretical understanding, algorithms and computational power are enabling computational tools to play an increasing role in materials discovery, development and optimization. For example, recently developed data mining techniques, genetic algorithms, machine-learning approaches, and predictive empirical potentials enable the “virtual synthesis” of novel materials, with their properties being predicted on a computer before ever being synthesized in a laboratory. Stochastic computational techniques and data analysis methods play an increasing role in materials characterization, design, and optimization. Large-scale computations for complex materials, that are needed to guide and complement novel experiments benefit from reliable empirical energy models.
This symposium will cover recent applications and methodological developments at the frontier of computational materials science, ranging from quantum-level prediction to macro-scale property optimization. The goal is to cover basic research topics in an interdisciplinary approach, which connects theory and experiment, with a view towards materials applications. Of particular interest is computational and theoretical work that features a strong connection to experiment.

Topics include but are not limited to:
• First principles materials discovery
• Optimization algorithm to search the structure-composition design space
• Data mining techniques, genetic algorithms, neural networks, cluster expansions, and machine-learning algorithms for structures, properties, and processing
• Innovations that improve accuracy and efficiency of computational materials design
• Computational discovery and design of novel materials, such as 2D materials and materials for energy technologies
Abstracts Due 07/15/2015
Proceedings Plan Planned: A print-only volume
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

A Differential-Exponential Hardening Model for Crystal Plasticity Modeling of Single Crystals
A Fast Algorithm for the Discovery of Optimal Nickel-based Superalloys
A General-Purpose Toolkit for Predicting the Properties of Materials using Machine Learning
A Machine Learning Approach to Bulk Property Prediction for the Laser Assisted Cold Spray Process
Applying Graph Kernels to the Transgranular Network for Microstructure Data Mining
Atomistic Modeling of Structure-Property Relationships in Grain Boundaries
Combined DFT, MD and Hybrid MD/FEM Simulations to Investigate Realistic Mechanical Deformations during Nanoindentation
Computational Discovery of New 2D and 3D Topological Materials
Computational Discovery of Novel Magnetic 2D Materials
Computational Discovery of Novel Single-Layer Group-IV Oxides with an Evolutionary Algorithm
Computational Exploration of Rare-earth Zirconate Pyrochlores for Thermal Barrier Coatings: Accurate Prediction of Thermal Conductivities and Thermal Expansion Coefficients from First-principles Calculations
Developing Physically-based Three Dimensional Microstructures: Bridging Phase Field and Crystal Plasticity Models
Effect of Charge on Point Defect Size Misfits from Ab Initio: Aliovalently Doped SrTiO3
Electronic Structures of Ferromagnetic Fe1-xTMxPt Alloys (TM = Mn, Fe, Co, Ni, Cu)
Exploring the Structure-composition Design Space in Multi-component Alloy Systems Using Nature Inspired Optimization Algorithms
Fatigue Crack Growth Modeling and Microstructural Mechanisms in Engine Materials under Hot Compressive Dwell Conditions
First Principles Investigation On TiAl3 Alloys Substitutively Doped With Si
H-1: A Theoretical Study on the Origin of Mg-based LPSO Structures
H-2: First Principle Study of Nonlinear Elastic Mechanical Responses of Two-dimensional Stanene
High-Throughput Screening of Substrates for Synthesis and Functionalization of Two-Dimensional Materials
Hydrogen-induced Core Structures Change of Screw and Edge Dislocations in Tungsten
Lithiation Kinetics of Crystalline Silicon Nanowires Regulated by Native Oxide Layer: A Molecular Dynamics Simulation Using ReaxFF.
Machine Learning in Chemical Space
Microstructural Evolution of High Temperature Ni-Cr ODS Alloy: Genetic Algorithm Approach
Modeling the Hydroforming of a Large Grain Niobium Tube
Monte Carlo Simulation of Two-phase Film Growth on a Patterned Substrate
Multi Scale Modeling of Deformation Behavior in Near Beta Ti-5553 Alloy
Prediction of Entropy Stabilized Incommensurate Phases in the System MoS_2-MoTe_2
Proving the Exact Ground State of a Generalized Ising Model by Convex Optimization and MAX-SAT
ReaxFF Force Field Development and Simulations of Two Classes of 2-Dimensional Structures: MoS2 and MXenes
Stability of Combined Depositions of Graphene and Gallium Nitride on Silicon Carbide: Interfacial Energies and Phonons
Three-Dimensional Simulation of Intercalation-Induced Stress in LiCoO2 Cathode Reconstructed by Focused Ion Beam Tomography
Turbostratically Disordered Compounds as a Template for Computational Materials Discovery


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