Field dossier · from the corpus

Computational fluid dynamics

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

Enhancing computational fluid dynamics with machine learning

2022565 citationsDOI ↗

Analysis of a Battery Pack with a Phase Change Material for the Extreme Temperature Conditions of an Electrical Vehicle

202073 citationsDOI ↗

Signals

2

Papers · in corpus

638

Citations · corpus total

0.0%

Recent share · since 2024

2020–2022

Span · publication years

Who is doing the work

Swedish e-Science Research CentreSE1
University of WashingtonUS1
KTH Royal Institute of TechnologySE1
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'IngénieurFR1
Université Paris-SaclayFR1
Centre National de la Recherche ScientifiqueFR1
ETH ZurichCH1
Busan University of Foreign StudiesKR1

Most published researchers

Ricardo Vinuesa1
Steven L. Brunton1
Kyoo Jae Shin1
Teressa Talluri1
Tae Hyeong Kim1

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

Perspective (graphical)1 Field (mathematics)1 Computational model1 Closure (psychology)1 Turbulence1 Phase-change material1 Nuclear engineering1 Battery (electricity)1 Automotive engineering1 Artificial intelligence1