Kiran Yalamanchi

Ph.D. Students

​Ph.D. Student

Research Interest

My research interests lie in applying Machine Learning methods to combustion problems.

Selected Publications

  • Machine Learning To Predict Standard Enthalpy of Formation of Hydrocarbons
    K. K. Yalamanchi, V. C. O. van Oudenhoven, F. Tutino, M. Monge-Palacios, A. Alshehri, X. G...
    J. Phys. Chem. A, 123, 38, 83058313, (2019)
  • Data Science Approach to Estimate Enthalpy of Formation of Cyclic Hydrocarbons
    K. K. Yalamanchi, M. Monge-Palacios, V. C. O. van Oudenhoven, X. Gao, and S. M. Sarathy
    J. Phys. Chem. A, 124, 31, 62706276, (2020)
  • Screening gas‐phase chemical kinetic models: Collision limit compliance and ultrafast timescales
    K. K. Yalamanchi, EA. Tingas, H. G. Im, S. M. Sarathy
    Int J Chem Kinet., 52:599610, (2020)
  • Effects of fuel composition variability on high temperature combustion properties: A statistical analysis
    M. K. Khandavilli, K. K.Yalamanchi, R. Huser, S. M. Sarathy
    Applications in Energy and Combustion Science 14, 100012, (2020)
  • A functional-group-based approach to modeling real-fuel combustion chemistry – I: Prediction of stoichiometric para...
    X. Zhang, K. K.Yalamanchi, S. M. Sarathy
    Combustion and Flame, (2020)

Education

  • ​M. Tech, Thermal Engineering, Indian Institute of Technology Madras, Chennai, India, 2017
  • B. Tech, Mechanical Engineering, Indian Institute of Technology Madras, Chennai, India, 2017

KAUST Affiliations

  • ​Clean Combustion Research Center (CCRC)
  • Division of Physical Sciences and Engineering (PSE)

Research Interests Keywords

Machine learning Chemical kinetics Thermochemistry