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Li Jiali
Li Jiali
Postdoctoral, Department of Chemical and Biomolecular Engineering, National University of Singapore
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Recurrent neural network-based model predictive control for continuous pharmaceutical manufacturing
WC Wong, E Chee, J Li, X Wang
Mathematics 6 (11), 242, 2018
1332018
Online prediction of mechanical properties of hot rolled steel plate using machine learning
Q Xie, M Suvarna, J Li, X Zhu, J Cai, X Wang
Materials & Design 197, 109201, 2021
1112021
AI applications through the whole life cycle of material discovery
J Li, K Lim, H Yang, Z Ren, S Raghavan, PY Chen, T Buonassisi, X Wang
Matter 3 (2), 393-432, 2020
1052020
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang, R Zhu, AG Aberle, ...
Matter 5 (1), 314-335, 2022
912022
Deep learning accelerated gold nanocluster synthesis
J Li, T Chen, K Lim, L Chen, SA Khan, J Xie, X Wang
Advanced Intelligent Systems 1 (3), 1900029, 2019
582019
Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction
H Yang, J Li, X Xiao, J Wang, Y Li, K Li, Z Li, H Yang, Q Wang, J Yang, ...
Nature communications 13 (1), 5311, 2022
532022
Automatic strain sensor design via active learning and data augmentation for soft machines
H Yang, J Li, KZ Lim, C Pan, T Van Truong, Q Wang, K Li, S Li, X Xiao, ...
Nature Machine Intelligence 4 (1), 84-94, 2022
512022
Machine vision automated chiral molecule detection and classification in molecular imaging
J Li, M Telychko, J Yin, Y Zhu, G Li, S Song, H Yang, J Li, J Wu, J Lu, ...
Journal of the American Chemical Society 143 (27), 10177-10188, 2021
362021
Self-improving photosensitizer discovery system via Bayesian search with first-principle simulations
S Xu, J Li, P Cai, X Liu, B Liu, X Wang
Journal of the American Chemical Society 143 (47), 19769-19777, 2021
262021
A pH-responsive amphiphilic hydrogel based on pseudopeptides and poly (ethylene glycol) for oral delivery of hydrophobic drugs
S Wang, R Attah, J Li, Y Chen, R Chen
ACS Biomaterials Science & Engineering 4 (12), 4236-4243, 2018
232018
Machine‐learning‐assisted accurate prediction of molecular optical properties upon aggregation
S Xu, X Liu, P Cai, J Li, X Wang, B Liu
Advanced Science 9 (2), 2101074, 2022
202022
Machine learning for membrane design and discovery
H Yin, M Xu, Z Luo, X Bi, J Li, S Zhang, X Wang
Green Energy & Environment 9 (1), 54-70, 2024
132024
Two-dimensional transient heat transfer model of moving quenching jet based on machine learning
Q Xie, Y Wang, X Li, Z Yang, J Li, Z Xie, X Wang, J Cai, Q Xu
International Journal of Heat and Mass Transfer 191, 122765, 2022
112022
A robust low data solution: Dimension prediction of semiconductor nanorods
X Liu, Y Xu, J Li, X Ong, SA Ibrahim, T Buonassisi, X Wang
Computers & Chemical Engineering 150, 107315, 2021
102021
Generalized reactor neural ODE for dynamic reaction process modeling with physical interpretability
J Yin, J Li, IA Karimi, X Wang
Chemical Engineering Journal 452, 139487, 2023
92023
Identification of chemical compositions from “featureless” optical absorption spectra: Machine learning predictions and experimental validations
T Chen, J Li, P Cai, Q Yao, Z Ren, Y Zhu, S Khan, J Xie, X Wang
Nano Research 16 (3), 4188-4196, 2023
52023
A machine learning-based decision support framework for energy storage selection
L Li, T Zhou, J Li, X Wang
Chemical Engineering Research and Design 181, 412-422, 2022
42022
Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects
X Wang, J Li, Y Zheng, J Li
Frontiers of Chemical Science and Engineering 16 (6), 1023-1029, 2022
32022
Accelerated design of near-infrared-II molecular fluorophores via first-principles understanding and machine learning
S Xu, P Cai, J Li, X Zhang, X Liu, X Wang, B Liu
12021
Single-atom catalysts property prediction via Supervised and Self-Supervised pre-training models
L Wang, H Chen, L Yang, J Li, Y Li, X Wang
Chemical Engineering Journal 487, 150626, 2024
2024
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Articles 1–20