| Machine learning to predict standard enthalpy of formation of hydrocarbons KK Yalamanchi, VCO Van Oudenhoven, F Tutino, M Monge-Palacios, ... The Journal of Physical Chemistry A 123 (38), 8305-8313, 2019 | 55 | 2019 |
| Predicting entropy and heat capacity of hydrocarbons using machine learning MN Aldosari, KK Yalamanchi, X Gao, SM Sarathy Energy and AI 4, 100054, 2021 | 28 | 2021 |
| A functional-group-based approach to modeling real-fuel combustion chemistry–I: Prediction of stoichiometric parameters for lumped pyrolysis reactions X Zhang, KK Yalamanchi, SM Sarathy Combustion and Flame 227, 497-509, 2021 | 26 | 2021 |
| Data science approach to estimate enthalpy of formation of cyclic hydrocarbons KK Yalamanchi, M Monge-Palacios, VCO van Oudenhoven, X Gao, ... The Journal of Physical Chemistry A 124 (31), 6270-6276, 2020 | 26 | 2020 |
| Experimental design for discrimination of chemical kinetic models for oxy-methane combustion L Cai, S Kruse, D Felsmann, C Thies, KK Yalamanchi, H Pitsch Energy & Fuels 31 (5), 5533-5542, 2017 | 21 | 2017 |
| Screening gas‐phase chemical kinetic models: Collision limit compliance and ultrafast timescales KK Yalamanchi, EA Tingas, HG Im, SM Sarathy International Journal of Chemical Kinetics 52 (9), 599-610, 2020 | 17* | 2020 |
| Cool flame chemistry of diesel surrogate compounds: n-Decane, 2-methylnonane, 2, 7-dimethyloctane, and n-butylcyclohexane Z Wang, N Hansen, AW Jasper, B Chen, DM Popolan-Vaida, ... Combustion and Flame 219, 384-392, 2020 | 15 | 2020 |
| Combustion chemistry of ammonia/C1 fuels: A comprehensive kinetic modeling study X Zhang, KK Yalamanchi, SM Sarathy Fuel 341, 127676, 2023 | 14 | 2023 |
| Assessment of physical soot inception model in normal and inverse laminar diffusion flames J Guo, P Liu, E Quadarella, K Yalamanchi, I Alsheikh, C Chu, F Liu, ... Combustion and Flame 246, 112420, 2022 | 11 | 2022 |
| From electronic structure to model application of key reactions for gasoline/alcohol combustion: Hydrogen-atom abstraction by CH3OȮ radicals C Yang, JT Chen, X Zhu, X Bai, Y Li, KK Yalamanchi, SM Sarathy, ... Proceedings of the Combustion Institute 39 (1), 415-423, 2023 | 10 | 2023 |
| Computational thermochemistry of oxygenated polycyclic aromatic hydrocarbons and relevant radicals T Wang, KK Yalamanchi, X Bai, S Liu, Y Li, B Qu, G Kukkadapu, ... Combustion and Flame 247, 112484, 2023 | 6 | 2023 |
| Large-scale thermochemistry calculations for combustion models KK Yalamanchi, Y Li, T Wang, M Monge-Palaciosa, SM Sarathy Applications in Energy and Combustion Science 12, 100084, 2022 | 5 | 2022 |
| Machine learning techniques for classification of combustion events under homogeneous charge compression ignition (HCCI) conditions FA Shamsudheen, K Yalamanchi, KH Yoo, A Voice, A Boehman, ... SAE Technical Paper, 2020 | 5 | 2020 |
| From electronic structure to model application of key reactions for gasoline/alcohol combustion: Hydrogen-atom abstractions by CH3Ȯ radical KK Yalamanchi, X Bai, ND Fernando, AS Lua, S Cheng, Y Li, CW Zhou, ... Combustion and Flame 252, 112742, 2023 | 4 | 2023 |
| Accurate thermochemistry prediction of extensive Polycyclic aromatic hydrocarbons (PAHs) and relevant radicals Y Li, T Wang, KK Yalamanchi, G Kukkadapu, SM Sarathy Combustion and Flame 242, 112159, 2022 | 4 | 2022 |
| Understanding the blending octane behaviour of unsaturated hydrocarbons: A case study of C4 molecules and comparison with toluene Y Li, VSB Shankar, KK Yalamanchi, J Badra, A Nicolle, SM Sarathy Fuel 275, 117971, 2020 | 3 | 2020 |
| Uncertainty quantification of a deep learning fuel property prediction model KK Yalamanchi, S Kommalapati, P Pal, N Kuzhagaliyeva, AS AlRamadan, ... Applications in Energy and Combustion Science 16, 100211, 2023 | 2 | 2023 |
| Effects of fuel composition variability on high temperature combustion properties: A statistical analysis M Khandavilli, KK Yalamanchi, R Huser, SM Sarathy Applications in Energy and Combustion Science 1, 100012, 2020 | 2 | 2020 |
| High-Throughput Experiments and Kinetic Modeling of Oxidative Coupling of Methane, OCM Over La2O3/CeO2 Catalyst. S Alturkistani, H Wang, K Yalamanchi, R Gautam, M Sarathy Abu Dhabi International Petroleum Exhibition and Conference, D042S195R002, 2022 | 1 | 2022 |
| Artificial intelligence–enabled fuel design KK Yalamanchi, A Nicolle, SM Sarathy Artificial Intelligence and Data Driven Optimization of Internal Combustion …, 2022 | 1 | 2022 |
S. Mani SarathyKing Abdullah University of Science and TechnologyDirección de correo verificada de kaust.edu.sa
