212 citations · 224 across the 3 of their papers we have counts for
3 papers
cond-mat.soft2023★ 11 cited
Artificial Neural Networks for Predicting Mechanical Properties of Crystalline Polyamide12 via Molecular Dynamics Simulations
Caglar Tamur, Shaofan Li, Danielle Zeng
Predicting material properties of 3D printed polymer products is a challenge in additive manufacturing due to the highly localized and complex manufacturing process. The microstruc…
eess.IV2021★ 212 cited
Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement
Ru Yang, Yang Li, Danielle Zeng +1
Digital image correlation (DIC) has become an industry standard to retrieve accurate displacement and strain measurement in tensile testing and other material characterization. Tho…
cs.CE2020★ 1 cited
An Artificial-intelligence/Statistics Solution to Quantify Material Distortion for Thermal Compensation in Additive Manufacturing
Chao Wang, Shaofan Li, Danielle Zeng +1
In this paper, we introduce a probabilistic statistics solution or artificial intelligence (AI) approach to identify and quantify permanent (non-zero strain) continuum/material def…