A Computational Multiscale Approach for Predicting Macroscale Elastic Properties and Failure Initiation in Phenolic Impregnated Carbon Ablator

A Framework for Assessing Simulation Maturity

Additive Manufacturing Porosity Estimation Using Multiple Nondestructive Evaluation Techniques

America Makes Efforts in Advanced Qualification Methods for AM

Assessing the Impact of Melt Pool Geometry Variability on Lack-of-Fusion Porosity and Fatigue Life in Powder Bed Fusion - Laser Beam Ti-6Al-4V

Computational Framework for Spatially-Dependent Melt Pool and Microstructure Simulations of Additively Manufactured Material

Computational Investigation on the Combined Effect of Pore Attributes on Strain Concentrators in Metal Additively Manufactured Materials

Computational Materials for Qualification and Certification Steering Group and Community Vision Roadmap

Computational Tools for Advancing Materials Maturity in Additive Manufacturing

Convolution-Based Numerical Solutions of Transient Temperature Fields during Powder Bed Fusion Additive Manufacturing: Theory, Accuracy, and Computational Cost

Correlations of Additive Manufacturing Model-Based Process Metrics With Spatter-Induced Porosity in the Powder Bed Fusion-Laser Beam/Metallic Process

Data-Driven Process Uncertainty Analysis of Stochastic Lack-of-Fusion in Laser Powder Bed Fusion

Development of Computational Materials Workflows for Additively Manufactured Metallic Materials to Enable Accelerated Prediction of Fatigue Performance

Durability and Damage Tolerance of Powder-Bed Fusion Ti-6Al-4V: Current Results and Modeling Needs

Efficient Sensitivity and Uncertainty Analysis of a Laser Powder Bed Fusion Thermal Model Built Using HYPAD-FEM

Enabling Rapid Aerospace Component Qualification and Certification: Integrated Model-Based Material Definitions in Additive Manufacturing

Fast, Cheap & In Control: Application of Surrogate Models to Explore Microstructure-Properties Relationships for AM-Based Materials

GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal Simulations

Industry's Vision for the Use of Computational Materials Tools in Qualification and Certification

Lessons Learned Calibration and Validation of Process Models for Laser Powder Bed Fusion Additive Manufacturing

Machine Learning Enabled Parametrically Upscaled Constitutive Models for Fatigue Simulations: A Data-Driven Multiscale Modeling Approach

Materials Data for Validation and Verification of Mechanical Performance: Outcomes and Future Perspectives from the AM Benchmark Series

Physics-Based Modeling of Ti-6Al-4V Phase Transformations for PBF-LB Temperature Histories

Process Sensitivity of Laser Powder Bed Fusion of IN718 to Composition Variation

Quantification of Microstructure-Induced Uncertainty in Fatigue Nucleation in Polycrystalline Materials

Quantifying Microstructure Evolution of LPBF Ni-Alloy Under High Temperatures Exposure Through Computer Vision

QUASAR – Assessment of the State of the Art and Gaps for AM of Fracture Critical Components

Review of Past and Future Impacts of the Additive Manufacturing Benchmark Test Series (AM Bench)

Scientific AI for Automated Validation and Certification

Towards a Digital Twin for Qualification and Certification of Metals Additive Manufacturing

Towards a Probabilitic Model for the Assessment of Gas Turbine Components

Transitioning from Basic Research to Industrial Applications for Metal AM Components

Uncertainty Quantification and Sensitivity Analysis in Process-Structure-Property Simulations for Laser Powder Bed Fusion Additive Manufacturing

Uncertainty Quantification in Process-Structure-Property Dynamics of IN718

Using Unsupervised Learning to Cluster Fatigue Life Based on Ti64 Fatigue Fracture Surface Characteristics

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