Manu Suvarna

ETH Zurich — Switzerland

Materials Science · Physical Sciences

20h-index2.6kcitations43works23.42yr avg
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Research Topics

Machine Learning in Materials Science(14), Catalysts for Methane Reforming(8), Carbon Dioxide Capture Technologies(7), Thermochemical Biomass Conversion Processes(6), Catalytic Processes in Materials Science(4)

Publications42 total

Fine-tuning large language models to generate single-atom catalyst synthesis procedures
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Fine-tuning large language models to generate single-atom catalyst synthesis procedures
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Descriptors toward higher alcohols and olefins formation in CO2 hydrogenation on promoted iron catalysts
Applied Catalysis B: Environmental·2025· 5 citedOpen Access
Explainable Artificial Intelligence Elucidates Synthesis‐Structure‐Property‐Function Relationships in Nanostructured Catalysts
Advanced Materials·2025· 10 citedOpen Access
SPOCK Tool for Constructing Empirical Volcano Diagrams from Catalytic Data
ACS Catalysis·2025· 2 citedOpen Access
Active learning streamlines development of high performance catalysts for higher alcohol synthesis
Nature Communications·2024· 50 citedOpen Access
Embracing data science in catalysis research
Nature Catalysis·2024· 84 cited
Active Learning-Based Guided Synthesis of Engineered Biochar for CO<sub>2</sub> Capture
Environmental Science & Technology·2024· 36 citedOpen Access
Embracing data science in catalysis research
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Embracing data science in catalysis research
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Language models and protocol standardization guidelines for accelerating synthesis planning in heterogeneous catalysis
Nature Communications·2023· 50 citedOpen Access
A Study on TiO<sub>2</sub>-CeO<sub>2</sub> nanocomposite coatings for corrosion protection of 304LN stainless steel
Journal of Physics Conference Series·2023· 2 citedOpen Access
Transformation towards digital synthesis of single-atom catalysts by leveraging language models and protocol standardization
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Identifying Descriptors for Promoted Rhodium-Based Catalysts for Higher Alcohol Synthesis <i>via</i> Machine Learning
ACS Catalysis·2022· 47 citedOpen Access
A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives
Journal of Cleaner Production·2022· 48 cited
A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation
Applied Catalysis B: Environmental·2022· 148 citedOpen Access
Recent advancements in sustainable upcycling of solid waste into porous carbons for carbon dioxide capture
Renewable and Sustainable Energy Reviews·2022· 90 cited
Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
Environmental Science & Technology·2022· 428 citedOpen Access
A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation
2022Open Access
A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation
2022· 1 citedOpen Access
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Frequent Co-authors

Xiaonan Wang(18), Javier Pérez‐Ramírez(17), Jie Li(10), Yong Sik Ok(7), Lanjia Pan(7), Xiangzhou Yuan(5), Thaylan Pinheiro Araújo(5), Lanyu Li(3), Anushri Umesh(3), Jidon Janaun(3), Pavani Dulanja Dissanayake(2), Yen Wah Tong(2), Ziying Sun(2), Ken Shaun Yap(2), Yen Ting Ng(2), M.I. Jahirul(2), Wai Hung Aaron-Yeap(2), Cheryl Valencia Augustine(2), M.G. Rasul(2), M. Erdem Günay(2)