Autoignition Modeling

Autoignition Modeling is a computational framework within reactive flow simulation that predicts the spontaneous ignition of fuel-air mixtures under high-temperature and high-pressure conditions by characterizing the intricate chemical kinetics and transport phenomena governing ignition timing and intermediate species evolution.

450

Publications

21.9K

Citations

1.1K

Authors

336

Institutions

Publications per year

2017–2026

142

Authors

1.1K

  1. WJ
    William J. Pitz

    Lawrence Livermore National Laboratory, United States

    20 publications · 1K citations

    20

    h-index

  2. CS
    Chih‐Jen Sung

    University of Connecticut, United States

    18 publications · 958 citations

    16

    h-index

  3. LY
    Liang Yu

    Shanghai Jiao Tong University, China

    14 publications · 487 citations

    13

    h-index

  4. SW
    Scott W. Wagnon

    Lawrence Livermore National Laboratory, United States

    12 publications · 488 citations

    12

    h-index

  5. YQ
    Yong Qian

    Shanghai Jiao Tong University, China

    11 publications · 339 citations

    11

    h-index

1–5 of 1.1K

Venues

  1. Combustion and Flame

    101 publications · 7.1K citations

    47

    h-index

  2. Proceedings of the Combustion Institute

    53 publications · 2.9K citations

    28

    h-index

  3. 27

    h-index

  4. Fuel

    49 publications · 1.6K citations

    22

    h-index

  5. Energy & Fuels

    26 publications · 768 citations

    17

    h-index

1–5