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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Algorithms Development in Materials Science and Engineering
Presentation Title
Author(s)
On-Site Speaker (Planned)
Abstract Scope
Proceedings Inclusion? Planned:
Keywords Iron and Steel, Modeling and Simulation,

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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A Mechanistic and Data Hybrid Model for Predicting Si and Mn Contents at LF Refining Endpoint
A Multiphysics SPH Framework for Modeling Battery Electrode Drying
A Two-Step Physics-Informed Machine Learning Approach for NiTi-X Shape Memory Alloy Design
An Effort Towards the Standardization of Disorientations in Texture
An Optimization Method for Continuous Casting Start-Time Decision Considering Equipment Capacity and Metal Resource Characteristics
Analysis and Reduction of DFT Database for Rapid Artificial Neural Network Interatomic Potentials
Application of Alteration Analysis Coupled with Two-Dimensional Correlation Analysis to Multidimensional Gas Chromatography High-Resolution Mass Spectral Data
Atomistic Roughening of Micrometer-Long Dislocation Lines Under Multi-Physical Stimuli
BESFEM: A Multiphysics Simulation Toolkit for Complex Battery Electrode Microstructures
Computational Approaches for Estimating Chemical Potential Differences in Non-Dilute Random Alloys
Data-Driven Analysis of Atomistic Simulations in a Symmetry-Adapted Basis
Development of Semi-Empirical Interatomic Potential to Simulate Properties of Yttria-Strengthened Ni-Based Alloys
Discovering Continuum Scale Models from Atomistic Simulations
Fast Fatigue Lifetime Prediction for as Manufactured Single Crystal CMSX4-PLUS Specimens Versus Experimental Results
Graph-Theoretical Approach for Defect Detection in Polycrystalline Atomic Specimen
Graph Neural Network-Driven Multi-Objective Bayesian Optimization for Discovering Metal-Organic Frameworks with Optimal Separation Performance
H-10: A Framework for Foundation Models in Materials Sciences: Application to 3D Polycrystalline Materials
H-11: Data-Driven Visualization of Molybdenum Deposition in Hybrid Semiconductors Using Machine Learning
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Impact of Secondary Phase Particles on Creep Behavior in Diffusion Bonded Microstructures
Integration of Simulation, Crowdsourcing, and Complexity Scoring for Ambiguous Feature Evaluations in Materials Imaging
Interpretable Data-Driven Modeling of Composition-Dependent Tensile Response of Multicomponent Alloys
Label-Aware Microstructure Generation for Manufacturing Processes Using Generative Networks
LithiumX: Inverse Property Selection and Direct Design of Energy Materials via Pseudodifferential Operators in a Cross-Disciplinary Digital Twin Framework
Machine Learning–Supported High Throughput Crystal Plasticity Simulations of Stress Concentrations in Void-Containing Molybdenum Microstructures
Making FAIR Data User-Friendly with Yabadaba
Merging Experimental and Computational Tests of the Split-Hopkinson Pressure Bar: Implementing an Ontology-Based GUI with FAIR Principles.
Modeling and Simulation of the Thermo-Mechanical Behavior of Polycrystalline Energetic Systems Under 3-D Loadings
Multiscale Simulation of Dislocation-Phonon Interaction and Peierls Stress in BCC Crystals
Optimization of Microstructures for Target Mechanical Performance under Manufacturing-Informed Property Closure Constraints
Performance and Accuracy Analysis of Peridynamics and Phase‑Field Fracture Models
Resolving Plasticity Near Cracks Through 3D Discrete Dislocation Dynamics Simulations
SAGA: A Simulated Annealing / Genetic Algorithm Approach to Atom Probe Tomography Rectification
Search for New Magnetic Material Candidates by First-Principles Calculation and Machine Learning
Surrogate Models of 3D Crystal Plasticity with Variable Microstructure and Loading Condition Using Recurrent Neural Networks
The Variational Deep Materials Network: Efficient Extrapolation with Uncertainty of Homogenized Material Responses
Thermodynamically-Guided Pseudo-Fluid Deposition Algorithm for Metal Additive Manufacturing: A Voxel-Based Framework Integrating Surface Energy Minimization and Mass Redistribution
Topological Quantification of 3D Polycrystalline Microstructures
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