To achieve a good performance for shape classification, it requires both shape representation and classifier. In this paper, the so-called Eigen Barycenter Contour (EBcC) and Fisher Barycenter Contour ...

This research was a cross-continental effort to create and understand a material nature does not make on its own.” Creating 2D Material Glaphene With Exotic Properties of Other 2d Materials Since the ...

Yin, C., Cheng, X., Liu, X. and Zhao, M. (2020) Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with ...

Regulatory reliance is all the rage of late, but some nations employ a four-tier risk classification scheme while others use a three-tier scheme.

This review discusses the experimental and computational study of the assembly of sheet-like 2D particles at fluid–fluid interfaces, with an emphasis on the impact of chemical composition, and the use ...

Physicists have discovered that electronic excitations in 2D magnets can interact through spin waves – ripples in a material’s magnetic structure. This breakthrough allows excitons (electron-hole ...

In a new Nature Physics study, scientists use quantum simulations to study the interaction between subatomic particles.

Particles were extracted (box size 640 px, Fourier-cropped to 360 px) and classified using the ‘2D classification’ utility. The entire set of micrographs were then picked with the “Template picker” ...

More information: Vinay Vaibhav et al, Experimental identification of topological defects in 2D colloidal glass, Nature Communications (2025). DOI: 10.1038/s41467-024-54857-z ...

This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image classification ...