10-fold faster molecular dynamics: 100 µs of grain boundary evolution

3D Surrogate Model Training using Active Learning for Elasto-viscoplastic FFT Simulations of Pore Morphologies from Laser Powder Bed Fusion of Ti64

A Multi-Objective Hot Rolling Unit Scheduling Method Integrated With Casting-Rolling Coordination Optimization

A multiphase-field formulation of the Sharp Phase Field Method

A statistical approach to revealing structure-property relationships and “defects” in amorphous metal oxides

A Transition Interface Sampling Study of Nano-Void Nucleation in Magnesium Alloys

Accelerating Large Multiscale Composite Simulations with a GNN/LSTM Microscale Surrogate

Accelerating molecular dynamics simulations using mass rescaling and asynchronous time integrators

Advanced Computational Techniques and Deep Learning Algorithms for the Automated Modeling and Design of Materials

AMMBER: The AI-enabled Microstructure Model BuildER

An Edgeworth Cross Mutual Information Function for Multimodal Pattern Matching

Bayesian Classification for Constraining the Design of Compositionally Graded Alloys (CGAs)

Comparative Study of Chemical Short Range Order Structure Construction in Multi-Principal Element Alloys

Comparison of crystal plasticity model predictions with DIC measured strain fields on nickel clones

Computational multiphysics problems in materials science with Alamo

Computer-Vision Based Characterization of Shock-Induced Plasticity in Atomistic Simulations

Critical cross slip stresses in several FCC metals uncovered via phase field dislocation dynamics

Crystallographic Orientation dependence on Intragranular Void Evolution and Failure in Aluminum Alloy: A Case Study of Coupled Phase Field Damage and Crystal Plasticity Modeling

Data assimilation system using phase-field simulation for polycrystalline equiaxed dendrite growth

Deep Learning for Quantitative Dynamic Fragmentation Analysis

Developing a stress-senstive nucleation model beyond classical nucleation theory

Developing an algorithm to obtain spatially registered orientation and elastic stiffness tensor data from spatially resolved acoustic spectroscopy maps

Development of interoperable process-structure-property simulation workflows of additive manufacturing using the “Materialize” framework

DiSCoVeR 2.0: incorporating structural similarity as a search criteria for new materials

Discovering High-Performance High Entropy Alloys: A Combined Genetic Algorithm and Machine Learning Approach

Dislocation dynamics during deformation of metals: direct coupling between 3D experimental and 3D simulated movies

Distances in the microstructure state space

Efficient Non-Recyclable Plastics Sorting through Advanced Sensor Fusion and Artificial Intelligence

Elastic constants from charge density distribution in FCC high entropy alloys using CNN and DFT

Elastic strain coupling in DFT-Informed Kinetic Monte Carlo Simulation of Multiphase Thin Film Growth

Enhancing the Performance of Constrained Minimization Algorithm

Enumeration and first-principles based parameterization of interfaces and transformation pathways in alloys using CASM

Explainable Deep Learning Model for Defect Detection during Autoclave Composite Manufacturing

FFT-based Micromechanical Modeling of Stress fields at tip of an elliptical crack by using composite voxels

Generating a database of dislocation predictions from classical interatomic potentials

High-Throughput Optimization of Cermet Coatings using Simulation and Experiments

High fidelity Phase-Field Models of Zr Corrosion with Experimental Validation

High Strain-Rate Microstructural Failure Modes in Refractory Alloys

Implementation of a stress corrosion cracking model in the large-strain elasto-viscoplastic fast Fourier transform modeling framework

Lattice to Continuum

Leveraging Increasingly Complex Test Artifacts to Accelerate Materials Development: Additively Manufactured Aluminum Metal Matrix Composites

Machine Learning Based Classification of Optical Materials

Machine Learning, Simulation and Constraint Algorithms for Interpreting 2D X-ray Diffraction Patterns of Dynamic Compression Experiments

Material Characterization for Sheet Metal Forming Processes Using Deep Learning Methods for Time Series Processing

Micropolar elastoplasticity using fast Fourier transforms

Microstructure-sensitive surrogate modeling of viscoplastic creep in nuclear fuel cladding: a mechanism-based, data-driven approach

Multi-Fidelity Models for Time-Dependent Full-Field Predictions

Non-Schmid Continuum Slip Crystal Plasticity with Implications for Dissipation Rate

On the pressing, computed tomography (CT), mechanical experiments, and multiscale computational modeling with VVUQ of plastic-bonded composite granular materials

Optimizing Material Compositions Using an Ising Model-Based Annealing Method

Performant parallel contact mechanics

Phase field modeling of the impact of the sub-grain structure on the kinetics of recrystallization

Phase field simulation of crystal facet growth of diamonds using MFEM software

Recognizing and characterizing continuous regions of materials design spaces through stochastic microstructure representations

Relaxing the Local Equilibrium Assumption in Quantitative Phase-Field Models

Research Data Management for Reference Data in Materials Science and Engineering Exemplified for Creep Data of Ni-Base Superalloys

Revealing features in Kikuchi patterns to predict plastic deformation localization differences between wrought and additively manufactured metallic materials

Simplistic models for predicting the resolvability of HEDM diffraction peaks in polycrystalline materials

Simulation of Twining-Detwinning in Magnesium Alloys Using an Open-Source Integrated Phase-Field/Crystal-Plasticity Framework

Strongly Physics Constrained Neural Networks: Applications in Solid Mechanics

Surrogate Models for Accelerating CALPHAD-Informed Materials Simulations in MOOSE

Thermally Activated Dislocation Ensembles: Maximum Dissipation and Scaling Relations

Thermodynamic Integration for Dynamically Unstable Systems Using Interatomic Force Constants without Molecular Dynamics

Toucan: Revolutionizing Grain Growth Simulations with Parallel-in-Time Scalability

Working towards a buildable and transferable deep learning model simulating full-field micromechanical evolution of polycrystalline materials

Questions about ProgramMaster? Contact programming@programmaster.org