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Efficient Chemical Space Exploration Using Active Learning Based on
  Marginalized Graph Kernel: an Application for Predicting the Thermodynamic
  Properties of Alkanes with Molecular Simulation

Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation

1 September 2022
Yan Xiang
Yunhao Tang
Zheng Gong
Hongyi Liu
Liang Wu
Guang Lin
Huai Sun
    AI4CE
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Papers citing "Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation"

1 / 1 papers shown
Title
Accelerating high-throughput virtual screening through molecular
  pool-based active learning
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff
E. Shakhnovich
Connor W. Coley
87
142
0
13 Dec 2020
1