output
20222025
most citedOcean Wave Forecasting with Deep Learning as Alternative to Conventional Models

11 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2022 · cond-mat.mtrl-sciShow all

2 papers · 2 filters

cond-mat.mtrl-sci2022★ 2 cited

Self-supervised Representations and Node Embedding Graph Neural Networks for Accurate and Multi-scale Analysis of Materials

Jian-Gang Kong, Ke-Lin Zhao, Jian Li +5

Supervised machine learning algorithms, such as graph neural networks (GNN), have successfully predicted material properties. However, the superior performance of GNN usually relie…

cond-mat.mtrl-sci2022★ 9 cited

Self-supervised graph neural networks for accurate prediction of Néel temperature

Jian-Gang Kong, Qing-Xu Li, Jian Li +2

Antiferromagnetic materials are exciting quantum materials with rich physics and great potential for applications. It is highly demanded of the accurate and efficient theoretical m…