Recent progress in generative adversarial networks applied to inversely designing inorganic materials: A brief review

R Jabbar, R Jabbar, S Kamoun - Computational Materials Science, 2022 - Elsevier
Generative adversarial networks (GANs) are deep generative models (GMs) that have
recently attracted attention owing to their impressive performance in generating completely …

From Concept to Synthesis: Develo** Heat-Resistant High Explosives through Automated High-Throughput Virtual Screening

ZJ Lu, Y Hu, WS Dong, WL Cao, TW Wang… - The Journal of …, 2023 - ACS Publications
In this paper, we investigate the utilization of high-throughput virtual screening (HTVS) to
identify and develop novel heat-resistant high explosives (HRHEs) that possess a …