Ni-rich layered cathode materials are among the most promising candidates for high-energy-density
Li-ion batteries, yet their degradation mechanisms are still poorly understood. We …

As the computing power of modern hardware is increasing strongly, pre-trained deep
learning models (eg, BERT, GPT-3) learned on large-scale datasets have shown their …

Graphene sheets, which possess unique nanostructure and a variety of fascinating
properties, can be considered as promising nanoscale building blocks of new composites, for …

Since December 2019, a series of unexplained pneumonia cases have been reported in
Wuhan, China. On 12 January 2020, the World Health Organization (WHO) temporarily named …

It is practical to assume that an individual view is unlikely to be sufficient for effective multi-view
learning. Therefore, integration of multi-view information is both valuable and necessary. …

The glucose transporter GLUT1 catalyses facilitative diffusion of glucose into erythrocytes
and is responsible for glucose supply to the brain and other organs. Dysfunctional mutations …

Single image 3D reconstruction is an important but challenging task that requires extensive
knowledge of our natural world. Many existing methods solve this problem by optimizing a …

Despite their crucial role in health and disease, our knowledge of immune cells within human
tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult …

Accurate whole-body multi-person pose estimation and tracking is an important yet challenging
topic in computer vision. To capture the subtle actions of humans for complex behavior …

In recent years, a great many methods of learning from multi-view data by considering the
diversity of different views have been proposed. These views may be obtained from multiple …