Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.

A team of physicists has embarked on a journey where few others have gone: into the glue that binds atomic nuclei. The ...

Researchers have observed hydrogen and deuterium molecules in tiny spaces called picocavities using advanced spectroscopy. This study reveals unique differences between the molecules due to quantum ...

This approach combines 1D convolutional neural network (CNN) and bidirectional long short term memory (BLSTM) network for accurate prediction of short term wind prediction at different heights above ...

Rice University. "'Hopelessly attached': Scientists discover new 2D material that sticks the landing." ScienceDaily. ScienceDaily, 23 May 2025. <www.sciencedaily.com / releases / 2025 / 05 / ...

For system identification, non-parametric approach namely ArtificialNeural Network (ANN) is utilized in this study ... a superiority for both techniques in modelling a flexible beam structure.

Therefore, we propose an attention-based graph neural network news recommendation model. In our model, muti-channel convolutional neural network is used to generate news representations, and recurrent ...

main limitations are detector system structure and the need for high-speed transfer and storage of a large number of digital signals. Therefore, this article proposes an irradiated photoelectric ...

Abstract: Owing to a wide range of important applications, such as team formation, dense subgraph discovery, and activity attendee suggestions on online social networks, Group Query attracts a lot of ...

Abstract: This paper is concerned with the topological structure, reachability, and stabilization for Boolean control networks (BCNs) with state constraints via event-triggered control (ETC) scheme.