Hall-Petch slope (k) is an important material parameter, while there is a great challenge to
accurately predict the k value of magnesium alloys due to a high dependence of k on the …

Predicting material properties by solving the Kohn-Sham (KS) equation, which is the basis of
modern computational approaches to electronic structures, has provided significant …

Exploring the data-driven prediction strategy of physical and chemical properties is attractive
for the rational design of crystal dielectrics with target characteristics, especially for the …

In this study, we built a variety of Machine Learning (ML) systems over 23 different sizes of
CH 3 NH 3 PbI 3 perovskite nanoparticles (NPs) to predict the atoms in the NPs from their …

Driven by the scaling down of transistor node technology, graphene became of interest to
many researchers following the success of its fabrication as graphene nanoribbons (GNRs) …

Bulk heterojunction solar cell (BHJ) materials represent a promising avenue for enhancing
environmental stability and practicality in solar cell technology. However, the vast array of …

The number of satellites in orbit around Earth is increasing rapidly, with the risk of collision
rising accordingly. Trends of the global population of satellites need to be analyzed to test …