Machine-learning enabled prediction of 3D spray under engine combustion network spray G conditions

Authors:
  • JHJoonsik Hwang
    Joonsik Hwang
  • PLPhilku Lee
    Philku Lee
  • SMSungkwang Mun
    Sungkwang Mun
  • IKIoannis K. Karathanassis
    Ioannis K. Karathanassis
  • PKPhoevos Koukouvinis
    Phoevos Koukouvinis
  • LPLyle M. Pickett
    Lyle M. Pickett
  • MGManolis Gavaises
    Manolis Gavaises

Abstract
No abstract available
Funding Information
  • Sandia National Laboratories
  • Center for Advanced Vehicular Systems, Mississippi State University
  • Engineering and Physical Sciences Research Council (EP/K020846/1)
  • U.S. Department of Energy
  • National Nuclear Security Administration (DE-NA0003525)
  • Office of Energy Efficiency and Renewable Energy

This publication has 32 references indexed in Scilit: