Wei Li
itcc.nju.edu.cn
0000-0001-7801-3643
Nanjing University
27 papers found
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Analytical Gradient Using Cluster-in-Molecule RI-MP2 Method for the Geometry Optimizations of Large Systems
Block-Correlated Coupled Cluster Theory with up to Four-Pair Correlation for Accurate Static Correlation of Strongly Correlated Systems
Cluster-in-Molecule Local Correlation Method for Dispersion Interactions in Large Systems and Periodic Systems
Cluster-in-Molecule Approach with Explicitly Correlated Methods for Large Molecules
Accurate and efficient prediction of vibrational circular dichroism spectra of condensed-phase systems with the generalized energy-based fragmentation method
Predicting the structures and vibrational spectra of molecular crystals containing large molecules with the generalized energy-based fragmentation approach
Generalized Energy-Based Fragmentation Approach for the Electronic Emission Spectra of Large Systems
Cluster-in-Molecule Method Combined with the Domain-Based Local Pair Natural Orbital Approach for Electron Correlation Calculations of Periodic Systems
Transition orbital projection approach for excited state tracking
Building quantum mechanics quality force fields of proteins with the generalized energy-based fragmentation approach and machine learning
Combined fragment-based machine learning force field with classical force field and its application in the NMR calculations of macromolecules in solutions
Controlled Fluorescence Enhancement of DNA-Binding Dye Through Chain Length Match between Oligoguanine and TOTO
Cluster-in-Molecule Local Correlation Method with an Accurate Distant Pair Correction for Large Systems
Computational and data driven molecular material design assisted by low scaling quantum mechanics calculations and machine learning
Generalized energy-based fragmentation approach for calculations of solvation energies of large systems
Structures and Spectroscopic Properties of Large Molecules and Condensed-Phase Systems Predicted by Generalized Energy-Based Fragmentation Approach
An On-the-fly Approach to Construct Generalized Energy‒Based Fragmentation Machine Learning Force Fields of Complex Systems
Accurate and Efficient Prediction of NMR Parameters of Condensed–Phase Systems with the Generalized Energy–Based Fragmentation Method
H2 Activation by Heterobimetallic Gold(I)/Platinum(0) Complex: Theoretical Understanding of Electronic Processes and Prediction on More Active Species
Improved generalized energy-based fragmentation approach and its applications to the binding energies of supramolecular complexes
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