Ganesh Vijayakumar

Ganesh Vijayakumar

Penn State University

H-index: 20

North America-United States

About Ganesh Vijayakumar

Ganesh Vijayakumar, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at Penn State University, specializes in the field of Computational Fluid Dynamics, Wind Energy, Atmospheric Boundary Layer, Turbulence, LES.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improved pressure-gradient sensor for the prediction of separation onset in RANS models

ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows

A Novel Method for Urea Concentration Deterioration Detection in BSVI Heavy Duty Engine

Design Space Exploration for Novel Reduced-Vortex Turbine Rotors Using Free Vortex Wake Methods

ExaWind at NREL: Upping the Ante

Data-driven turbulence model for flow separation over the Boeing Gaussian Bump

Effects of inflow turbulence on wind turbine loads and wakes for blade-resolved simulations

Effect of the integral length scales of turbulent inflows on wind turbine loads

Ganesh Vijayakumar Information

University

Position

Graduate Research Assistant The

Citations(all)

2514

Citations(since 2020)

1494

Cited By

825

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

49

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Ganesh Vijayakumar Skills & Research Interests

Computational Fluid Dynamics

Wind Energy

Atmospheric Boundary Layer

Turbulence

LES

Top articles of Ganesh Vijayakumar

Improved pressure-gradient sensor for the prediction of separation onset in RANS models

arXiv preprint arXiv:2404.19035

2024/4/29

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows

Wind Energy

2024/1/23

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Lawrence Cheung
Lawrence Cheung

H-Index: 3

A Novel Method for Urea Concentration Deterioration Detection in BSVI Heavy Duty Engine

2024/1/16

Design Space Exploration for Novel Reduced-Vortex Turbine Rotors Using Free Vortex Wake Methods

2023/12/8

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

ExaWind at NREL: Upping the Ante

2023/12/5

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Data-driven turbulence model for flow separation over the Boeing Gaussian Bump

Bulletin of the American Physical Society

2023/11/20

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Effects of inflow turbulence on wind turbine loads and wakes for blade-resolved simulations

Bulletin of the American Physical Society

2023/11/20

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Effect of the integral length scales of turbulent inflows on wind turbine loads

Renewable Energy

2023/11/1

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Mesh and model requirements for capturing deep-stall aerodynamics in low-Mach-number flows

Journal of Turbulence

2023/8/3

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

A baseline for ensemble-based, time-resolved inflow reconstruction for a single turbine using large-eddy simulations and latent diffusion models

Journal of Physics: Conference Series

2023/5/1

Alex Rybchuk
Alex Rybchuk

H-Index: 1

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Study on the physical, mechanical and mineralogical properties of dredged marine sand as a partial replacement for fine aggregate in concrete

Materials Today: Proceedings

2023/4/18

Airfoil Computational Fluid Dynamics-9k shapes, 2 AoA's

2023/2/10

Bumseok Lee
Bumseok Lee

H-Index: 3

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

High Efficiency 2-Bladed Utility Wind Turbine Enhanced by CoFlow Jet Active Flow Control

2023

Design-space exploration for inverse-design of wind turbine blades using data-driven methods

2022

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Yong Su Jung
Yong Su Jung

H-Index: 5

Regularizing invertible neural networks for airfoil design through dimension reduction

2022

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Invertible neural networks for aerodynamic design of wind turbine blades

2022/12/30

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Bumseok Lee
Bumseok Lee

H-Index: 3

The aerodynamic modeling of wind turbine blades using different levels of fidelity

Bulletin of the American Physical Society

2022/11/21

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Effect of turbulence length scales on wind turbine loads

Bulletin of the American Physical Society

2022/11/21

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Towards multi-fidelity deep learning of wind turbine wakes

Renewable Energy

2022/11/1

Suraj Pawar
Suraj Pawar

H-Index: 7

Ganesh Vijayakumar
Ganesh Vijayakumar

H-Index: 9

Omer San
Omer San

H-Index: 22

See List of Professors in Ganesh Vijayakumar University(Penn State University)