Category:
Theoretical and Computational Chemistry
,
Working Paper
, Title:
Q-DFTNet: A Chemistry-Informed Neural Network Framework for Predicting Molecular Dipole Moments via DFT-Driven QM9 Data
, Authors:
Dennis Delali Kwesi Wayo, Mohd Zulkifli Bin Mohamad Noor, Masoud Darvish Ganji, Camila Martins Saporetti, Leonardo Goliatt
Version 1 posted 14 May 2025
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