Browsing: ML Model

This article discusses the importance of high-quality datasets in machine learning-assisted high-throughput screening for MOFs with biogas upgrading properties. The authors use a curated…

This study presents a GAN architecture trained to synthesise microstructure images of LPBF fabricated Ti-6Al-4V based on different LPBF processing parameters. The ML model…

This article discusses the importance of training and testing data in machine learning projects. It explains the concept of data training, which involves providing…

AI-Bind is a pipeline for predicting protein-ligand binding which combines network science methods with unsupervised pre-training to control for the over-fitting and the annotation…