Παρακολούθηση
Kiran Yalamanchi
Kiran Yalamanchi
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα anl.gov
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Παρατίθεται από
Παρατίθεται από
Έτος
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
532019
Predicting entropy and heat capacity of hydrocarbons using machine learning
MN Aldosari, KK Yalamanchi, X Gao, SM Sarathy
Energy and AI 4, 100054, 2021
272021
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
262021
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
242020
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
212017
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
152020
Combustion chemistry of ammonia/C1 fuels: A comprehensive kinetic modeling study
X Zhang, KK Yalamanchi, SM Sarathy
Fuel 341, 127676, 2023
142023
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
112022
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
102023
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
62023
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
52020
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
42023
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
42022
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
42022
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
32020
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
22023
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
22020
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
12022
Artificial intelligence–enabled fuel design
KK Yalamanchi, A Nicolle, SM Sarathy
Artificial Intelligence and Data Driven Optimization of Internal Combustion …, 2022
12022
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