Jianming Wu

Physical Chemistry

Associate Professor

jianmingwu@fudan.edu.cn

Room A3025, Chemistry Building, Department of Chemistry, Fudan University 2005 Songhu Road, Yangpu District, Shanghai 200438, China

86-21-31242032

www.xdft.org

Research Interests

  • Density functional theory and its numeric correction models

  • Cheminformatics

Biography

  • Associate Professor of Fudan University from 2011

  • Senior Engineer of PCOSS in Xiamen University (2008~2011)

  • Staff member and Engineer of PCOSS in Xiamen University (1998~2008)

  • Sep. 2002 to Apr. 2008, Xiamen University, Dr. Sc. degree

  • Sep. 1995 to Jul. 1998, Xiamen University, M. Sc. degree

  • Sep. 1991 to Jul. 1995, Xiamen University, B.Sc. degree

Teaching

  • Physical Chemistry AI

Key Publications

  • Photocaging of N-pyridinyl amide scaffold-based PIM inhibitors for spatiotemporal controlled anticancer bioactivity, Bioorg. Med. Chem., 24(2025),118159  

  • X2-PEC: a neural network model based on atomic pair energy corrections, J. Comput. Chem., 46:8(2025), e70081

  • X2-GNN: a physical message passing neural network with natural generalization ability to large and complex molecules, J. Phys. Chem. Lett., 15 (2024), 12501-12512

  • Constructing accurate and efficient general-purpose atomistic machine learning model with transferable accuracy for quantum chemistry,  J. Chem. Theor. Comput., 20:21(2024), 9500-9511

  • A Dataset Representativeness Metric and A Slicing Sampling Strategy for the Kennard-Stone Algorithm, Chem. J. Chin. Univ., 43:10 (2022), 20220397

  • Accurate heats of formation of polycyclic saturated hydrocarbons predicted by using the XYG3 type of doubly hybrid functionals, J. Comput. Chem., 40(2019), 1113-1122

  • X1se: a combined method of density functional calculation and neural network correction for accurate prediction of heats of formation, Sci. Sin. Chim., 46:1 (2016), 38-50

  • How well can B3LYP heats of formation be improved by dispersion correction models? Theor. Chem. Acc., 135(2016), 44

  • Improving B3LYP heats of formation with three‐dimensional molecular descriptors. J. Comput. Chem., 37(2016), 1175-1190

  • The X1 family of methods that combines B3LYP with neural network corrections for an accurate yet efficient prediction of thermochemistry, Int. J. Quant. Chem., 115(2015), 1021-1031

  • Calculations of ionization energies and electron affinities for atoms and molecules: a comparative study with different methods, Front. Chem. China, 6:4 (2011), 269-279

  • Theoretical studies on thermochemistry for conversion of 5-Chloromethylfurfural into valuable chemicals, J. Phys. Chem. A, 115:46 (2011), 13628–13641

  • Accurate bond dissociation enthalpies by using doubly hybrid XYG3 functional, J. Comput. Chem., 32 (2011), 1824–1838

  • The X1s method for accurate bond dissociation energies, ChemPhysChem, 11(2010), 2561-256715.Extending the reliability and applicability of B3LYP, Chem. Commun., 46(2010), 3057-3070 (Feature Article)

  • Trends in R-X bond dissociation energies (R• =Me, Et, i-Pr, t-Bu, X• =H, Me, Cl, OH), J. Chem. Theory Comput., 6:5 (2010) 1447-1454

  • Accurate prediction of heats of formation by a combined method of B3LYP and neural–network correction, J. Comput. Chem., 30:9 (2009) 1424-1444

  • Improving the B3LYP bond energies by using the X1 method, J. Chem. Phys., 129(2008) 164103

  • The X1 method for accurate and efficient prediction of heats of formation, J. Chem. Phys., 127(2007) 214105