TT Le - Journal of Composite Materials, 2021 - journals.sagepub.com
This paper is devoted to the development and construction of a practical Machine Learning (ML)-based model for the prediction of tensile strength of polymer carbon nanotube (CNTs) …
In this study, a novel hybrid surrogate machine learning model based on a feedforward neural network (FNN) and one step secant algorithm (OSS) was developed to predict the …
TT Le - Particulate Science and Technology, 2022 - Taylor & Francis
In this paper, numerical DEM simulations are presented that were used to study the response of agricultural granular materials, such as dry soybeans, in a uniaxial compaction …
Packed structures are an essential part of nuclear reactors, food, chemical, transport, and process industries. Since the safety and quality of products in the packed structures is of …