| Quantum Mechanical-Based Quantitative Structure–Property Relationships for Electronic Properties of Two Large Classes of Organic Semiconductor Materials: Polycyclic Aromatic … LH Nguyen, TH Nguyen, TN Truong ACS omega 4 (4), 7516-7523, 2019 | 10 | 2019 |
| Application of machine learning in developing quantitative structure–property relationship for electronic properties of polyaromatic compounds TH Nguyen, LH Nguyen, TN Truong ACS omega 7 (26), 22879-22888, 2022 | 8 | 2022 |
| Gagones A–F: six prenylated chalcones from the heartwood of Mansonia gagei HTT Le, LH Nguyen, TH Nguyen, VK Nguyen, A Danova, TN Truong, ... Phytochemistry 206, 113516, 2023 | 4 | 2023 |
| Atom-Based Machine Learning Model for Quantitative Property–Structure Relationship of Electronic Properties of Fusenes and Substituted Fusenes TH Nguyen, KM Le, LH Nguyen, TN Truong ACS omega 8 (41), 38441-38451, 2023 | 2 | 2023 |
| Machine Learning-Based Quantitative Structure–Property Relationships for the Electronic Properties of Cyano Polycyclic Aromatic Hydrocarbons TH Nguyen, KM Le, LH Nguyen, TN Truong ACS omega 8 (1), 464-472, 2022 | 2 | 2022 |
| Towards De Novo Drug Design for the Coronavirus: A Drug-Target Interaction Prediction Approach using Atom-enhanced Graph Neural Network with Multi-hop Gating Mechanism DQ Nguyen, KD Le, BT Ly, AD Nguyen, QH Nguyen, TH Nguyen, ... 2022 9th NAFOSTED Conference on Information and Computer Science (NICS), 275-280, 2022 | | 2022 |
