Year |
Citation |
Score |
2023 |
Zeng J, Zhang D, Lu D, Mo P, Li Z, Chen Y, Rynik M, Huang L, Li Z, Shi S, Wang Y, Ye H, Tuo P, Yang J, Ding Y, et al. DeePMD-kit v2: A software package for deep potential models. The Journal of Chemical Physics. 159. PMID 37526163 DOI: 10.1063/5.0155600 |
0.672 |
|
2023 |
Zeng J, Tao Y, Giese TJ, York DM. Modern semiempirical electronic structure methods and machine learning potentials for drug discovery: Conformers, tautomers, and protonation states. The Journal of Chemical Physics. 158: 124110. PMID 37003741 DOI: 10.1063/5.0139281 |
0.728 |
|
2023 |
Zeng J, Tao Y, Giese TJ, York DM. QDπ: A Quantum Deep Potential Interaction Model for Drug Discovery. Journal of Chemical Theory and Computation. PMID 36696673 DOI: 10.1021/acs.jctc.2c01172 |
0.746 |
|
2022 |
Giese TJ, Zeng J, York DM. Multireference Generalization of the Weighted Thermodynamic Perturbation Method. The Journal of Physical Chemistry. A. PMID 36301936 DOI: 10.1021/acs.jpca.2c06201 |
0.745 |
|
2022 |
Giese TJ, Zeng J, Ekesan Ş, York DM. Combined QM/MM, Machine Learning Path Integral Approach to Compute Free Energy Profiles and Kinetic Isotope Effects in RNA Cleavage Reactions. Journal of Chemical Theory and Computation. PMID 35709391 DOI: 10.1021/acs.jctc.2c00151 |
0.737 |
|
2022 |
Cao L, Zeng J, Wang B, Zhu T, Zhang JZH. neural network MD simulation of thermal decomposition of a high energy material CL-20/TNT. Physical Chemistry Chemical Physics : Pccp. PMID 35506927 DOI: 10.1039/d2cp00710j |
0.531 |
|
2021 |
Zeng J, Giese TJ, Ekesan Ş, York DM. Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/Molecular Mechanical Simulations of Chemical Reactions in Solution. Journal of Chemical Theory and Computation. 17: 6993-7009. PMID 34644071 DOI: 10.1021/acs.jctc.1c00201 |
0.745 |
|
2021 |
Cao L, Zeng J, Xu M, Chin CH, Zhu T, Zhang JZH. Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion. Molecules (Basel, Switzerland). 26. PMID 34071128 DOI: 10.3390/molecules26113120 |
0.573 |
|
2020 |
Zeng J, Cao L, Xu M, Zhu T, Zhang JZH. Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation. Nature Communications. 11: 5713. PMID 33177517 DOI: 10.1038/s41467-020-19497-z |
0.529 |
|
2020 |
Zhang Y, Wang H, Chen W, Zeng J, Zhang L, Wang H, E W. DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models Computer Physics Communications. 253: 107206. DOI: 10.1016/J.Cpc.2020.107206 |
0.575 |
|
2019 |
Zeng J, Cao L, Chin CH, Ren H, Zhang JZH, Zhu T. ReacNetGenerator: an automatic reaction network generator for reactive molecular dynamics simulations. Physical Chemistry Chemical Physics : Pccp. PMID 31829361 DOI: 10.1039/C9Cp05091D |
0.569 |
|
2019 |
Tian S, Zeng J, Liu X, Chen J, Zhang JZH, Zhu T. Understanding the selectivity of inhibitors toward PI4KIIIα and PI4KIIIβ based molecular modeling. Physical Chemistry Chemical Physics : Pccp. PMID 31570909 DOI: 10.1039/C9Cp03598B |
0.537 |
|
2018 |
Han XY, Chen ZH, Zeng J, Fan QX, Fang ZQ, Shi G, Zhang M. Inorganic-Organic Hybrid Tongue-Mimic for Time-Resolved Luminescent Noninvasive Pattern and Chiral Recognition of Thiols in Biofluids toward Healthcare Monitoring. Acs Applied Materials & Interfaces. PMID 30148952 DOI: 10.1021/Acsami.8B13498 |
0.372 |
|
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