Manu Suvarna
ETH Zurich(CH)Institute of Catalysis and Petrochemistry(RU)
Publications by Year
Research Areas
Machine Learning in Materials Science, Catalysts for Methane Reforming, Carbon Dioxide Capture Technologies, Thermochemical Biomass Conversion Processes, Catalytic Processes in Materials Science
Most-Cited Works
- → Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning(2022)439 cited
- → Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons(2021)350 cited
- → Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning(2020)287 cited
- → Online prediction of mechanical properties of hot rolled steel plate using machine learning(2020)191 cited
- → Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening(2021)170 cited
- → A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation(2022)152 cited
- → Pyrolysis of waste surgical masks into liquid fuel and its life-cycle assessment(2021)117 cited
- → Wet wastes to bioenergy and biochar: A critical review with future perspectives(2022)105 cited
- → Recent advancements in sustainable upcycling of solid waste into porous carbons for carbon dioxide capture(2022)91 cited
- → Embracing data science in catalysis research(2024)89 cited