This work documents the first version of the US Department of Energy (DOE) new Energy
Exascale Earth System Model (E3SMv1). We focus on the standard resolution of the fully …

Long-term time series forecasting is challenging since prediction accuracy tends to decrease
dramatically with the increasing horizon. Although Transformer-based methods have …

The clearance of damaged myelin sheaths is critical to ensure functional recovery from
neural injury. Here we show a previously unidentified role for microvessels and their lining …

Transformers have achieved superior performances in many tasks in natural language
processing and computer vision, which also triggered great interest in the time series community. …

This paper attempts to reveal the atmospheric water vapor transports associated with typical
anomalous summer rainfall patterns in China. The results show that origins of water vapor …

Although we have witnessed great success of pre-trained models in natural language
processing (NLP) and computer vision (CV), limited progress has been made for general time …

Mesenchymal stromal cells (MSCs), also known as mesenchymal stem cells, have been
intensely investigated for clinical applications within the last decades. However, the majority of …

While reversible histone modifications are linked to an ever-expanding range of biological
functions 1 , 2 , 3 , 4 , 5 , the demethylases for histone H4 lysine 20 and their potential …

High strength hydrogels were made by ionically cross-linking the polyelectrolyte midblock of
a self-assembled, amphiphilic triblock copolymer network. The polymer backbone consisted …

The self-assembly of well-defined 2D supramolecular polymers in solution has been a
challenge in supramolecular chemistry. We have designed and synthesized a rigid stacking-…