48 citations · 87 across the 5 of their papers we have counts for
5 papers
Recent Breakthrough in AI-Driven Materials Science: Tech Giants Introduce Groundbreaking Models
Miao Liu, Sheng Meng
A close look of Google's GNoME inorganic materials dataset [Nature 624, 80 (2023)], and 11 things you would like to know.
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with -Greedy Exploration
Shuai Zhang, Hongkang Li, Meng Wang +6
This paper provides a theoretical understanding of Deep Q-Network (DQN) with the -greedy exploration in deep reinforcement learning. Despite the tremendous empirical a…
MatChat: A Large Language Model and Application Service Platform for Materials Science
Ziyi Chen, Fankai Xie, Meng Wan +5
The prediction of chemical synthesis pathways plays a pivotal role in materials science research. Challenges, such as the complexity of synthesis pathways and the lack of comprehen…
Lu-H-N phase diagram from first-principles calculations
Fankai Xie, Tenglong Lu, Ze Yu +4
Using a comprehensive structure search and high-throughput first-principles calculations of 1483 compounds, this study presents the phase diagram of Lu-H-N. The formation energy la…
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
Shuai Zhang, Meng Wang, Pin-Yu Chen +3
Due to the significant computational challenge of training large-scale graph neural networks (GNNs), various sparse learning techniques have been exploited to reduce memory and sto…