| Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning J Li, L Pan, M Suvarna, YW Tong, X Wang Applied Energy 269, 115166, 2020 | 165 | 2020 |
| Prediction of soil heavy metal immobilization by biochar using machine learning KN Palansooriya, J Li, PD Dissanayake, M Suvarna, L Li, X Yuan, ... Environmental science & technology 56 (7), 4187-4198, 2022 | 146 | 2022 |
| Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons X Yuan, M Suvarna, S Low, PD Dissanayake, KB Lee, J Li, X Wang, ... Environmental Science & Technology 55 (17), 11925-11936, 2021 | 142 | 2021 |
| 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 | 111 | 2021 |
| Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening J Li, L Pan, M Suvarna, X Wang Chemical Engineering Journal 426, 131285, 2021 | 91 | 2021 |
| Pyrolysis of waste surgical masks into liquid fuel and its life-cycle assessment C Li, X Yuan, Z Sun, M Suvarna, X Hu, X Wang, YS Ok Bioresource technology 346, 126582, 2022 | 87 | 2022 |
| A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation M Suvarna, TP Araujo, J Pérez-Ramírez Applied Catalysis B: Environmental 315, 121530, 2022 | 60 | 2022 |
| Wet wastes to bioenergy and biochar: A critical review with future perspectives J Li, L Li, M Suvarna, L Pan, M Tabatabaei, YS Ok, X Wang Science of the Total Environment 817, 152921, 2022 | 55 | 2022 |
| A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing D Tan, M Suvarna, YS Tan, J Li, X Wang Applied Energy 291, 116808, 2021 | 50 | 2021 |
| A hybrid data-driven and mechanistic modelling approach for hydrothermal gasification J Li, M Suvarna, L Pan, Y Zhao, X Wang Applied Energy 304, 117674, 2021 | 49 | 2021 |
| Cyber–physical production systems for data-driven, decentralized, and secure manufacturing—a perspective M Suvarna, KS Yap, W Yang, J Li, YT Ng, X Wang Engineering 7 (9), 1212-1223, 2021 | 41 | 2021 |
| Smart manufacturing for smart cities—overview, insights, and future directions M Suvarna, L Büth, J Hejny, M Mennenga, J Li, YT Ng, C Herrmann, ... Advanced Intelligent Systems 2 (10), 2000043, 2020 | 41 | 2020 |
| Recent advancements in sustainable upcycling of solid waste into porous carbons for carbon dioxide capture X Yuan, J Wang, S Deng, M Suvarna, X Wang, W Zhang, ST Hamilton, ... Renewable and Sustainable Energy Reviews 162, 112413, 2022 | 33 | 2022 |
| A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives J Li, M Suvarna, L Li, L Pan, J Pérez-Ramírez, YS Ok, X Wang Journal of Cleaner Production, 133025, 2022 | 29 | 2022 |
| Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning M Suvarna, MI Jahirul, WH Aaron-Yeap, CV Augustine, A Umesh, ... Renewable Energy 189, 245-258, 2022 | 26 | 2022 |
| A machine learning framework to quantify and assess the impact of COVID-19 on the power sector: An Indian context M Suvarna, A Katragadda, Z Sun, YB Choh, Q Chen, PS Pravin, X Wang Advances in Applied Energy 5, 100078, 2022 | 17 | 2022 |
| Identifying Descriptors for Promoted Rhodium-Based Catalysts for Higher Alcohol Synthesis via Machine Learning M Suvarna, P Preikschas, J Pérez-Ramírez ACS catalysis 12 (24), 15373-15385, 2022 | 15 | 2022 |
| Process modelling and simulation of bitumen mining and recovery from oil sands M Suvarna, M Divakaran, EI Nduagu Minerals Engineering 134, 65-76, 2019 | 4 | 2019 |
| Language models and protocol standardization guidelines for accelerating synthesis planning in heterogeneous catalysis M Suvarna, AC Vaucher, S Mitchell, T Laino, J Pérez-Ramírez Nature Communications 14 (1), 7964, 2023 | 3 | 2023 |
| Embracing data science in catalysis research M Suvarna, J Pérez-Ramírez Nature Catalysis, 1-12, 2024 | | 2024 |
Xiaonan Wang (王笑楠)Tsinghua University & National University of SingaporeVerified email at nus.edu.sg
