Lucie Fréret

Lucie Fréret

University of Toronto

H-index: 12

North America-Canada

About Lucie Fréret

Lucie Fréret, With an exceptional h-index of 12 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Multi-phase flows, polydispersed sprays, high performance computing, Computational Fluid Dynamics, anisotropic mesh refinement.

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

High-order ceno finite-volume scheme with anisotropic adaptive mesh refinement: Efficient inexact newton method for steady three-dimensional flows

Enhanced anisotropic block-based adaptive mesh refinement for three-dimensional inviscid and viscous compressible flows

High‐order implicit time‐stepping with high‐order central essentially‐non‐oscillatory methods for unsteady three‐dimensional computational fluid dynamics simulations

An integrated data-driven solar wind–CME numerical framework for space weather forecasting

Lucie Fréret Information

University

Position

University of Toronto Institute for Aerospace Studies

Citations(all)

434

Citations(since 2020)

148

Cited By

361

hIndex(all)

12

hIndex(since 2020)

7

i10Index(all)

13

i10Index(since 2020)

5

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Lucie Fréret Skills & Research Interests

Multi-phase flows

polydispersed sprays

high performance computing

Computational Fluid Dynamics

anisotropic mesh refinement

Top articles of Lucie Fréret

Title

Journal

Author(s)

Publication Date

High-order ceno finite-volume scheme with anisotropic adaptive mesh refinement: Efficient inexact newton method for steady three-dimensional flows

Journal of Scientific Computing

Lucie Freret

CN Ngigi

TB Nguyen

Hans De Sterck

Clinton PT Groth

2023/3

Enhanced anisotropic block-based adaptive mesh refinement for three-dimensional inviscid and viscous compressible flows

Journal of Computational Physics

Lucie Freret

Michael Williamschen

Clinton PT Groth

2022/6/1

High‐order implicit time‐stepping with high‐order central essentially‐non‐oscillatory methods for unsteady three‐dimensional computational fluid dynamics simulations

International Journal for Numerical Methods in Fluids

T Binh Nguyen

Hans De Sterck

Lucie Freret

Clinton PT Groth

2022/2

An integrated data-driven solar wind–CME numerical framework for space weather forecasting

Journal of Space Weather and Space Climate

Nishant M Narechania

Ljubomir Nikolić

Lucie Freret

Hans De Sterck

Clinton PT Groth

2021

See List of Professors in Lucie Fréret University(University of Toronto)