Quan De Wang
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Paper Publications
- Wan, Zhongyu,Quan De Wang.Machine Learning Prediction of the Exfoliation Energies of Two-Dimension Materials via Data-Driven Approach,2021,v 12,n 46,p11470-11475
- Wan, Zhongyu,Quan De Wang.Machine Learning Prediction of the Exfoliation Energies of Two-Dimension Materials via Data-Driven Approach,2021,v 12,n 46,p11470-11475
- Panigrahy, Snehasish,Liang, Jinhu,Ghosh, Manik Kumer,Quan De Wang,Zuo, Zhaohong,Nagaraja, Shashank,Mohamed, A. Abd El-Sabor,Kim, Gihun,Vasu, Subith S.,Curran, Henry J..An experimental and detailed kinetic modeling study of the pyrolysis and oxidation of allene and propyne over a wide range of conditions,2021,v 233,
- Wan, Zhongyu,Quan De Wang,Liu, Dongchang,Liang, Jinhu.Effectively improving the accuracy of PBE functional in calculating the solid band gap via machine learning,2021,v 198,
- Wan, Zhongyu,Quan De Wang,Liu, Dongchang,Liang, Jinhu.Effectively improving the accuracy of PBE functional in calculating the solid band gap via machine learning,2021,v 198,
- Wan, Zhongyu,Quan De Wang,Liu, Dongchang,Liang, Jinhu.Effectively improving the accuracy of PBE functional in calculating the solid band gap via machine learning,2021,v 198,
- Xu, Shenying,Quan De Wang,Sun, Mao-Mao,Yin, Guoliang,Liang, Jinhu.Benchmark calculations for bond dissociation energies and enthalpy of formation of chlorinated and brominated polycyclic aromatic hydrocarbons,2021,卷: 11期: 47页: 29690-29701
- Wan, Zhongyu,Quan De Wang,Liu, Dongchang,Liang, Jinhu.Machine learning prediction of stability, topological properties and band gap of topological insulators in tetradymites,2021,卷: 409
- Wan, Zhongyu,Quan De Wang,Liu, Dongchang,Liang, Jinhu.Data-driven machine learning model for the prediction of oxygen vacancy formation energy of metal oxide materials,2021,v 23,n 29,p15675-15684
- Wan, Zhongyu,Quan De Wang,Liu, Dongchang,Liang, Jinhu.Accelerating the optimization of enzyme-catalyzed synthesis conditionsviamachine learning and reactivity descriptors,2021,v 19,n 28,p6267-6273
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