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M. Suvarna · SciRah

Researcher profile · Semantic Scholar

M. Suvarna

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M. Suvarna — researcher profile on SciRah

h-index: 21
Works: 37
Citations: 2,699

Most-cited papers

Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
K. Palansooriya, Jie Li, P. Dissanayake, M. Suvarna +7 more
2022Environmental Science and Technology456 citations Open access
Semantic Scholar
Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons.
Xiang-Zhou Yuan, M. Suvarna, Sean Low, P. Dissanayake +4 more
2021Environmental Science and Technology358 citations Open access
Semantic Scholar
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
Jie Li, Lan-jia Pan, M. Suvarna, Y. Tong +1 more
2020Applied Energy291 citations
Semantic Scholar
Online prediction of mechanical properties of hot rolled steel plate using machine learning
Qian Xie, M. Suvarna, Jiali Li, Xinzhe Zhu +2 more
2021188 citations Open access
Semantic Scholar
Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
Jie Li, Lan-jia Pan, M. Suvarna, Xiaonan Wang
2021157 citations Open access
Semantic Scholar
A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation
M. Suvarna, T. P. Araújo, J. Pérez-Ramírez
2022Applied Catalysis B: Environmental156 citations Open access
Semantic Scholar
Embracing data science in catalysis research
M. Suvarna, J. Pérez-Ramírez
2024Nature Catalysis110 citations
Semantic Scholar
Pyrolysis of waste surgical masks into liquid fuel and its life-cycle assessment.
Chao Li, Xiangzhou Yuan, Zi-Ying Sun, M. Suvarna +3 more
2021Bioresource Technology108 citations
Semantic Scholar
Wet wastes to bioenergy and biochar: A critical review with future perspectives.
Jie Li, Lanyu Li, M. Suvarna, Lan-jia Pan +3 more
2022Science of the Total Environment95 citations Open access
Semantic Scholar
Recent advancements in sustainable upcycling of solid waste into porous carbons for carbon dioxide capture
Xiang-Zhou Yuan, Jun-Yao Wang, Shuai Deng, M. Suvarna +8 more
2022Renewable & Sustainable Energy Reviews85 citations Open access
Semantic Scholar
A hybrid data-driven and mechanistic modelling approach for hydrothermal gasification
Jie Li, M. Suvarna, Lan-jia Pan, Ying-Ru Zhao +1 more
2021Applied Energy80 citations Open access
Semantic Scholar
Active learning streamlines development of high performance catalysts for higher alcohol synthesis
M. Suvarna, T. Zou, Sok-Ho Chong, Yu-Zhen Ge +2 more
2024Nature Communications79 citations Open access
Semantic Scholar
A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing
Daniel C. H. Tan, M. Suvarna, Yee-Shee Tan, Jie Li +1 more
202178 citations Open access
Semantic Scholar
Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
M. Suvarna, K. S. Yap, Wentao Yang, Jun Li +2 more
2021Engineering77 citations Open access
Semantic Scholar
Predicting Biodiesel Properties and its Optimal Fatty Acid Profile Via Explainable Machine Learning
M. Suvarna, M. Jahirul, Wai Hung Aaron-Yeap, Cheryl Augustine +5 more
2022Social Science Research Network70 citations Open access
Semantic Scholar
Language models and protocol standardization guidelines for accelerating synthesis planning in heterogeneous catalysis
M. Suvarna, A. Vaucher, S. Mitchell, T. Laino +1 more
2023Nature Communications57 citations Open access
Semantic Scholar
Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture
Xiangzhou Yuan, M. Suvarna, J. Lim, J. Pérez-Ramírez +2 more
2024Environmental Science and Technology55 citations Open access
Semantic Scholar
A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives
Jie Li, M. Suvarna, Lanyu Li, Lan-jia Pan +3 more
2022Journal of Cleaner Production48 citations
Semantic Scholar
Identifying Descriptors for Promoted Rhodium-Based Catalysts for Higher Alcohol Synthesis via Machine Learning
M. Suvarna, Phil Preikschas, J. Pérez-Ramírez
2022ACS Catalysis45 citations Open access
Semantic Scholar
Smart Manufacturing for Smart Cities—Overview, Insights, and Future Directions
M. Suvarna, Lennart Büth, Johannes Hejny, M. Mennenga +4 more
2020Advanced Intelligent Systems41 citations Open access
Semantic Scholar
Explainable Artificial Intelligence Elucidates Synthesis‐Structure‐Property‐Function Relationships in Nanostructured Catalysts
M. Suvarna, Marc-Eduard Usteri, F. Krumeich, S. Mitchell +1 more
2025Advances in Materials25 citations Open access
Semantic Scholar
Descriptors toward higher alcohols and olefins formation in CO2 hydrogenation on promoted iron catalysts
Yu-Zhen Ge, A. J. Martín, M. Suvarna, T. Zou +2 more
2025Applied Catalysis B: Environment and Energy18 citations Open access
Semantic Scholar
A machine learning framework to quantify and assess the impact of COVID-19 on the power sector: An Indian context
M. Suvarna, Apoorva Katragadda, Zi-Ying Sun, Yun Bin Choh +3 more
2021Advances in Applied Energy17 citations Open access
Semantic Scholar
Machine Learning Prediction of Syngas Composition of Hydrothermal Gasification from Wet Organic Wastes
Jie Li, Lan-jia Pan, M. Suvarna, Y. Tong +1 more
6 citations
Semantic Scholar
SPOCK Tool for Constructing Empirical Volcano Diagrams from Catalytic Data
M. Suvarna, Rubén Laplaza, Romain Graux, N. López +3 more
2025ACS Catalysis4 citations Open access
Semantic Scholar
Process modelling and simulation of bitumen mining and recovery from oil sands
M. Suvarna, M. Divakaran, E. Nduagu
2019Minerals Engineering4 citations
Semantic Scholar
Advances in Applied Energy
M. Suvarna, Apoorva Katragadda, Zi-Ying Sun, Yun Bin Choh +2 more
20213 citations
Semantic Scholar
Optimization, kinetics and radioprotective potential of a heteropolysaccharide from L. rhamnosus RVPI.
A. Umesh, Pradeepa, A. Manjunath, Chithralekha Salian +3 more
2019Biotechnology and applied biochemistry2 citations
Semantic Scholar
Optimizing aromatics yield-selectivity trade-off in zeolite-catalyzed biomass fast pyrolysis using machine learning
M. Suvarna, Zihao Zhang, Qing Yang
2026Chemical Engineering Journal1 citations Open access
Semantic Scholar
Enzymatic Electrosynthesis for Sustainable CO 2 Conversion: Advancing Circular Carbon Economy
Yan Xie, Jia Ouyang, M. Suvarna, Xiang-Zhou Yuan +4 more
2026Carbon Energy0 citations Open access
Semantic Scholar
Fine-tuning large language models to generate single-atom catalyst synthesis procedures
M. Suvarna, Matteo Manica, Fillipo Ficarra, Andrés M Bran +5 more
2026Communications Chemistry0 citations Open access
Semantic Scholar
Autothermal Biomass and Plastic Cogasification for Hydrogen-Rich Syngas Production: Process and Sustainability Assessment
M. Suvarna, Zi-Ying Sun, Xiao-Nan Wang
2026Industrial & Engineering Chemistry Research0 citations
Semantic Scholar
Toward Precise, Multiscale, and Process-Aware Catalysis Generation via Generative AI
Wen-Tao Li, Leyi Zhao, Jiang-Jie Qiu, Zemeng Wang +6 more
2026Engineering0 citations Open access
Semantic Scholar
Green Chemistry at 25 and beyond
M. Suvarna, A. J. Martín, Luigi Vaccaro, Michael A. Rowan +1 more
2026Green Chemistry0 citations Open access
Semantic Scholar
Advanced Text-Based Depression Detection Using Machine Learning Techniques
K. Deepthi, G. Sravanthi, M. Suvarna, K. Reddy +1 more
20252025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)0 citations
Semantic Scholar
Data-driven predictive models to determine biodiesel fuel properties as a function of average unsaturation and average chain length
M. Suvarna, M. Suvarna, J. Janaun
20200 citations
Semantic Scholar

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