Xiaonan Wang (王笑楠)
National University of Singapore
H-index: 44
Asia-Singapore
Top articles of Xiaonan Wang (王笑楠)
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Machine learning for membrane design and discovery | Haoyu Yin Muzi Xu Zhiyao Luo Xiaotian Bi Jiali Li | 2024/1/1 | |
Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture | Environmental Science & Technology | Xiangzhou Yuan Manu Suvarna Juin Yau Lim Javier Pérez-Ramírez Xiaonan Wang | 2024/3/18 |
Intelligent synthesis of magnetic nanographenes via chemist-intuited atomic robotic probe | Nature Synthesis | Jie Su Jiali Li Na Guo Xinnan Peng Jun Yin | 2024/2/29 |
Machine learning-based multi-objective optimization of concentrated solar thermal gasification of biomass incorporating life cycle assessment and techno-economic analysis | Energy Conversion and Management | Yi Fang Xian Li Xiaonan Wang Leilei Dai Roger Ruan | 2024/2/15 |
Atomic Design of Alkyne Semihydrogenation Catalysts via Active Learning | Journal of the American Chemical Society | Xiaohu Ge Jun Yin Zhouhong Ren Kelin Yan Yundao Jing | 2024/2/9 |
Machine learning based feature engineering for thermoelectric materials by design | Digital Discovery | US Vaitesswar Daniil Bash Tan Huang Jose Recatala-Gomez Tianqi Deng | 2024 |
Generalized reactor neural ODE for dynamic reaction process modeling with physical interpretability | Chemical Engineering Journal | Jun Yin Jiali Li Iftekhar A Karimi Xiaonan Wang | 2023/1/15 |
A review on modelling methods, tools and service of integrated energy systems in China | Nianyuan Wu Fuzheng Zhang Jiangjiang Wang Xiaonan Wang Jianzhong Wu | 2023/8/11 | |
Identification of chemical compositions from “featureless” optical absorption spectra: Machine learning predictions and experimental validations | Nano Research | Tiankai Chen Jiali Li Pengfei Cai Qiaofeng Yao Zekun Ren | 2023/3 |
Emerging Directions for Carbon Capture Technologies: A Synergy of High-Throughput Theoretical Calculations and Machine Learning | Qi Lei Lanyu Li Honghao Chen Xiaonan Wang | 2023/11/2 | |
Modeling phytoremediation of heavy metal contaminated soils through machine learning | Journal of hazardous materials | Liang Shi Jie Li Kumuduni Niroshika Palansooriya Yahua Chen Deyi Hou | 2023/1/5 |
Understanding and optimizing the gasification of biomass waste with machine learning | Green Chemical Engineering | Jie Li Lanyu Li Yen Wah Tong Xiaonan Wang | 2023/3/1 |
Using automated machine learning techniques to explore key factors in anaerobic digestion: At the environmental factor, microorganisms and system levels | Chemical Engineering Journal | Yi Zhang Zhangmu Jing Yijing Feng Shuo Chen Yeqing Li | 2023/11/1 |
Physics-informed recurrent neural network modeling for predictive control of nonlinear processes | Journal of Process Control | Yingzhe Zheng Cheng Hu Xiaonan Wang Zhe Wu | 2023/8/1 |
Machine learning for heavy metal removal from water: recent advances and challenges | ACS ES&T Water | Xiangzhou Yuan Jie Li Juin Yau Lim Ashkan Zolfaghari Daniel S Alessi | 2023 |
Artificial Intelligence (AI) Workflow for Catalyst Design and Optimization | Industrial & Engineering Chemistry Research | Nung Siong Lai Yi Shen Tew Xialin Zhong Jun Yin Jiali Li | 2023/10/12 |
Next-generation intelligent laboratories for materials design and manufacturing | Xiting Peng Xiaonan Wang | 2023/2/27 | |
AI for nanomaterials development in clean energy and carbon capture, utilization and storage (CCUS) | Honghao Chen Yingzhe Zheng Jiali Li Lanyu Li Xiaonan Wang | 2023/6/2 | |
化工科研范式智能化转型的思考与展望 | 化工进展 | 李蓝宇， 黄新烨， 王笑楠， 邱彤 | 2023 |
Perspective of Waste to Energy and Fuel with Negative Emission Potential: Smart Environmental and Techno-economic Analysis | Energy & Fuels | Lanyu Li Jie Li Yuchen Li Jing Luo Yin Wang | 2023/9/26 |
Co-Authors
