With the background of China's carbon peak, the low-carbon and sustainable development
of the coal industry is vital to China's national energy security. Because the underground …

Variable chain topologies of multiblock copolymers provide great opportunities for the
formation of numerous self-assembled nanostructures with promising potential applications …

Environmental perception is an important research direction of coal mine sustainable
development. There is much dust in the underground working environment of coal mine …

Passive permeation of cellular membranes is a key feature of many therapeutics. The
relevance of passive permeability spans all biological systems as they all employ …

Regular physics-informed neural networks (PINNs) predict the solution of partial differential
equations using sparse labeled data but only over a single domain. On the other hand, fully …

We report a novel deep learning (DL) method for classifying inorganic compounds using 3D
electron density data. We transform Density Functional Theory (DFT)-derived CHGCAR files …

Abstract This study employs Molecular Dynamics simulations to enhance the structural
characterization of sphere mixture systems, focusing on local order parameters to identify …

Molecular dynamics simulations are used to study binary blends of an AB-type diblock and
an AB2-type miktoarm triblock amphiphiles (also known as high-χ block oligomers) …

We introduce PointNet-KAN, a neural network for 3D point cloud classification and
segmentation tasks, built upon two key components. First, it employs Kolmogorov-Arnold …

Deep learning algorithms based on automatic 3-dimensional (D) cephalometric marking
points about people without craniomaxillofacial deformities has achieved good results …