A review on the recent applications of deep learning in predictive drug toxicological studies
Drug toxicity prediction is an important step in ensuring patient safety during drug design
studies. While traditional preclinical studies have historically relied on animal models to …
studies. While traditional preclinical studies have historically relied on animal models to …
A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions
M Rezasefat, JD Hogan - Machine Learning: Science and …, 2023 - iopscience.iop.org
This study presents a data-driven finite element-machine learning surrogate model for
predicting the end-to-end full-field stress distribution and stress concentration around an …
predicting the end-to-end full-field stress distribution and stress concentration around an …