| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
AMB2018-03: Benchmark Physical Property Measurements for Material Extrusion Additive Manufacturing of Polycarbonate
|
Cole, Daniel P.
|
|
|
9 |
4 |
p. 358-375
|
article
|
| 2 |
A New Numerical-Homogenization Method to Predict the Effective Permittivity of Composite Materials
|
Jarmoumi, Younes
|
|
|
9 |
4 |
p. 423-434
|
article
|
| 3 |
Computer Vision Approaches for Segmentation of Nanoscale Precipitates in Nickel-Based Superalloy IN718
|
Senanayake, Nishan M.
|
|
|
9 |
4 |
p. 446-458
|
article
|
| 4 |
Data-Driven Constitutive Model for the Inelastic Response of Metals: Application to 316H Steel
|
Tallman, Aaron E.
|
|
|
9 |
4 |
p. 339-357
|
article
|
| 5 |
Effect of Particle Spreading Dynamics on Powder Bed Quality in Metal Additive Manufacturing
|
Lee, Yousub
|
|
|
9 |
4 |
p. 410-422
|
article
|
| 6 |
Informing Mechanical Model Development Using Lower-Dimensional Descriptions of Lattice Distortion
|
Pagan, Darren C.
|
|
|
9 |
4 |
p. 459-471
|
article
|
| 7 |
Machine Learning-Enabled Uncertainty Quantification for Modeling Structure–Property Linkages for Fatigue Critical Engineering Alloys Using an ICME Workflow
|
Whelan, Gary
|
|
|
9 |
4 |
p. 376-393
|
article
|
| 8 |
Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis
|
Gopalakrishnan, Saikiran
|
|
|
9 |
4 |
p. 394-409
|
article
|
| 9 |
Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems
|
Carraturo, Massimo
|
|
|
9 |
4 |
p. 435-445
|
article
|
| 10 |
Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations
|
Kotha, Shravan
|
|
|
9 |
4 |
p. 322-338
|
article
|
| 11 |
Unsupervised Deep Learning for Laboratory-Based Diffraction Contrast Tomography
|
Hovad, Emil
|
|
|
9 |
4 |
p. 315-321
|
article
|
Journal description