A Computationally Efficient Method to Address the Gap Between Dilute and Concentrated Calculations

A Critical and Quantitative Comparison of Models for Grain Structure Prediction in Solidification Processes

A Digital Thread for Field Assisted Sintering of Titanium Components

A Line-free Discrete Dislocation Dynamics Method for Finite Domains

Applications of Persistent Homology for Microstructure Quantification

Bayesian Interpretable Machine Learning of Yield Surface Models with Noisy Data

Bayesian Optimization Driven Atomistic Simulation Alloy Co-design for Additive Manufacturing

Challenges of Developing and Scaling up DAMASK, a Unified Large-strain Multi-physics Crystal Plasticity Simulation Software

Concurrent Atomistic-continuum Modeling of Materials Synthesis, Structure, and Properties

Crystal Plasticity Simulations Using Cubic Interpolation Method

Current Advances on FFT-based Algorithms for Micromechanical Modelling of Crystalline Materials

Data-driven 2D Grain Growth Microstructure Reconstruction Using Deep Learning and Spectral Graph Theory

Deep Learning Approaches for Time-resolved Laser Absorptance Prediction in Additive Manufacturing

Developing Data-driven Strength Models Incorporating Temperature and Strain-rate Dependence

Development of a Monte Carlo Potts Anisotropic Grain Growth Model That Considers GB Energy Dependence on Both Misorientation and Inclination

Development of a Research and Production Material Model Library for Computational Solid Mechanics

Development of a Semi-empirical Potential for Ni-based Superalloys

Enabling Materials Science Simulations with the Cabana Library

Exascale Simulations Using Ultra-fast Force Field for Materials Discovery and Design

Field Fluctuations Viscoplastic Self-consistent Crystal Plasticity: Applications to Predicting Texture Evolution during Deformation and Recrystallization of Cubic Polycrystalline Metals

Influence of Cross Slip Based Dynamic Recovery during Plane Strain Compression of Aluminum

Initializing Grain and Sub-grain scale Residual Stress in Crystal Plasticity Simulations

Inverse Problem Analysis of Phase Fraction Prediction in Aluminum Alloys Using Differentiable Deep Learning Models

Investigating the Uncertainty in Multi-fidelity Machine Learning Interatomic Potentials

J-7: Capturing Hydrogen Embrittlement Effects with Hydrogen Diffusion Simulation and Crystal Plasticity

J-8: DFT-based Kinetic Monte Carlo Framework for the Growth of Multiphase Thin Films

J-9: On the Effect of Nucleation Undercooling on Phase Transformation Kinetics

Machine Learning-guided MEAM Interatomic Potential Development for Predicting Melting Point Properties

Massively Parallel Simulations with Diffuse Interface Methods Using Block-structured Adaptive Mesh Refinement

Material Data Driven Design

Microstructural Interrogation Using Information Theory and Correlative Statistics

Modeling Chemical Reactions in Stabilization Process of Polyacrylonitrile-based Carbon Fiber Based on Molecular Dynamics

Monte Carlo Based Uncertainty Quantification of Crystal Plasticity Simulations Using ExaConstit

Multiscale Modeling to Investigate the Deformation and Bonding Mechanism during Joining of Multi-materials by High-velocity Riveting

Parameter Prediction of Anisotropic Yield Function from Neural Network-based Indentation Plastometry

Physics-based Strategies to Mitigate Crystal Plasticity Parameter Uncertainty

Predicting and Designing the Thermo-elasto-plastic Response of Composites Using Deep Material Network

Quantum Approximate Bayesian Optimization Algorithm for Design of High-entropy Alloys

Solid-state Precipitation in Molecular Dynamics: KMC-MD Hybrid Simulations

Three-Dimensional Micromechanical Framework for Explicit representation of Deformation Twinning

Towards Experimental Validation of Microstructure -Sensitive Models of Statistically Varied Plastic Response with PRISMS-Indentation

Transferable Machine Learning Potentials for Extreme Environments

Understanding Diffusion Processes in a Multicomponent Alloy Using a Variational Approach

Understanding the Effects of Stresses on Precipitation: Beyond Classical Nucleation Theory

Yield Surfaces of Face-centered Cubic Copper from Discrete Dislocation Dynamics and Geometric Prior Approach

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