Machine learning and quantum computing for reactive turbulence modeling and simulation

被引：4
|
作者：
Givi, Peyman [1 ]
机构：
[1] Univ Pittsburgh, Ctr Res Comp, Mech Engn & Petr Engn, Pittsburgh, PA 15261 USA
来源：
MECHANICS RESEARCH COMMUNICATIONS | 2021年 / 116卷
关键词：
DISCRETE LOGARITHMS; COMPUTATION; ALGORITHMS; NETWORKS;
D O I：
10.1016/j.mechrescom.2021.103759
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
A perspective is given on some prospects of machine learning and quantum computing for modeling and simulation of turbulent reactive flows. This perspective is a more comprehensive and extended form of the 13th Elsevier Distinguished Lecture in Mechanics delivered by the author.
引用
收藏
页数：3
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