Standout Papers

Combustion machine learning: Principles, progress and prospects 2022 2026 2023 2024152
  1. Combustion machine learning: Principles, progress and prospects (2022)
    Matthias Ihme, Wai Tong Chung et al. Progress in Energy and Combustion Science

Immediate Impact

70 standout
Sub-graph 1 of 22

Citing Papers

Enhancing combustion efficiency and reducing nitrogen oxide emissions from ammonia combustion: A comprehensive review
2024 Standout
Instabilities and Mixing in Inertial Confinement Fusion
2024 Standout
2 intermediate papers

Works of Aashwin Mishra being referenced

Combustion machine learning: Principles, progress and prospects
2022 Standout
Theoretical analysis of tensor perturbations for uncertainty quantification of Reynolds averaged and subgrid scale closures
2019

Author Peers

Author Last Decade Papers Cites
Aashwin Mishra 470 165 137 159 29 684
Christophe Corre 657 104 69 218 49 844
Marc Gerritsma 529 68 139 88 54 829
Jean-Christophe Loiseau 459 56 118 161 26 843
Philippe Pébaÿ 315 111 350 123 32 828
Cosmin Safta 260 75 257 116 70 761
Kerstin Avila 444 66 35 46 16 717
S. I. Chernyshenko 734 217 30 191 57 823
Paul G. A. Cizmas 497 63 123 365 77 742
Bérengère Podvin 647 162 42 163 44 720
Ryan King 215 218 54 310 44 744

All Works

Loading papers...

Rankless by CCL
2026