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Xiaonan Wang

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Full Name
Xiaonan Wang
Main Affiliation
 
Faculty
 
Email
chewxia@nus.edu.sg
 

Publications

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Author:  Wang, X

Results 1-16 of 16 (Search time: 0.009 seconds).

Issue DateTitleAuthor(s)
120-Dec-2021An invertible crystallographic representation for general inverse design of inorganic crystals with targeted propertiesREN ZEKUN ; Tian, Siyu Isaac Parker; Noh, Juhwan; Oviedo, Felipe; Xing, Guangzong; JIALI LI ; Liang, Qiaohao; Zhu, Ruiming; Armin Gerhard Aberle ; Sun, Shijing; WANG XIAONAN ; Liu, Yi; Li, Qianxiao; Jayavelu, Senthilnath; Hippalgaonkar, Kedar; Jung, Yousung; Buonassisi, Tonio
22019Blockchain-based smart contract for energy demand managementWang, X. ; Yang, W.; Noor, S.; Chen, C.; Guo, M.; Van Dam, K.H.
313-Feb-2021Design and operation of hybrid renewable energy systems: current status and future perspectivesLI LANYU ; WANG XIAONAN 
42018Energy Demand Side Management with supply constraints: Game theoretic ApproachNoor, S.; Guo, M.; Van Dam, K.H.; Shah, N.; Wang, X. 
52018Framework for WASH sector data improvements in data-poor environments, applied to Accra, GhanaKoppelaar, R.H.E.M; Sule, M.N; Kis, Z; Mensah, F.K; Wang, X ; Triantafyllidis, C; van Dam, K.H; Shah, N
627-Mar-2021Game theory-based renewable multi-energy system design and subsidy strategy optimizationLIU ZUMING ; WANG SHUKUN; LILM MEI QI; KFRAT MARKUS; WANG XIAONAN 
7Dec-2020Improving protein solubility and activity by introducing small peptide tags designed with machine learning modelsHan, X.; Ning, W. ; Ma, X. ; Wang, X. ; Zhou, K. 
82018Local control of fuel cell systems within hybrid renewable energy generation using model predictive controlChen, S.; Chiu, M.-S. ; Wang, X. 
9Jan-2022Machine-Learning-Assisted Accurate Prediction of Molecular Optical Properties upon AggregationXu, Shidang ; Liu, Xiaoli ; Cai, Pengfei; Li, Jiali ; Wang, Xiaonan ; Liu, Bin 
102019Optimal design of standalone hybrid renewable energy systems with biochar production in remote rural areas: A case studyLi, L. ; You, S.; Wang, X. 
112018Recurrent neural network-based model predictive control for continuous pharmaceutical manufacturingWong, W.C ; Chee, E; Li, J; Wang, X 
121-Dec-2021Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principle SimulationsXu, S ; Li, J ; Cai, P; Liu, X ; Liu, B ; Wang, X 
132020Special issue on "design and control of sustainable processes"Jogwar, S.S.; Wang, X. 
143-Jun-2019The application of machine learning methods for prediction of metal sorption onto biocharsZHU XINZHE ; WANG XIAONAN ; YONG SIK OK
1520-Apr-2021Two-step machine learning enables optimized nanoparticle synthesisMekki-Berrada, Flore ; Ren, Zekun; Huang, Tan ; Wong, Wai Kuan ; Zheng, Fang ; Xie, Jiaxun ; Tian, Isaac Parker Siyu; Jayavelu, Senthilnath; Mahfoud, Zackaria; Bash, Daniil; Hippalgaonkar, Kedar; Khan, Saif ; Buonassisi, Tonio; Li, Qianxiao ; Wang, Xiaonan 
161-Feb-2021Waste-to-hydrogen: Recycling HCl to produce H2 and Cl2ZHUANG RUI; WANG XIAONAN ; GUO MIAO; ZHAO YINGRU; Nael H. El-Farra; Ahmet Palazoglu