Hubert BATY

Hubert BATY

Université de Strasbourg

H-index: 18

Europe-France

About Hubert BATY

Hubert BATY, With an exceptional h-index of 18 and a recent h-index of 9 (since 2020), a distinguished researcher at Université de Strasbourg, specializes in the field of Astrophysics - Plasma Physics - Numerical simulations.

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

Modelling solar coronal magnetic fields with physics-informed neural networks

A hands-on introduction to Physics-Informed Neural Networks for solving partial differential equations with benchmark tests taken from astrophysics and plasma physics

Solving differential equations using physics informed deep learning: a hand-on tutorial with benchmark tests

Solving higher-order Lane-Emden-Fowler type equations using physics-informed neural networks: benchmark tests comparing soft and hard constraints

Modelling Lane–Emden type equations using Physics-Informed Neural Networks

Solving stiff ordinary differential equations using physics informed neural networks (PINNs): simple recipes to improve training of vanilla-PINNs

A robust and efficient solver based on kinetic schemes for magnetohydrodynamics (MHD) equations

Hyperbolic method to explore multiplicity flow solutions in a four-sided lid-driven cavity

Hubert BATY Information

University

Position

Associate Prof. Observatoire Astronomique

Citations(all)

978

Citations(since 2020)

232

Cited By

838

hIndex(all)

18

hIndex(since 2020)

9

i10Index(all)

27

i10Index(since 2020)

8

Email

University Profile Page

Université de Strasbourg

Google Scholar

View Google Scholar Profile

Hubert BATY Skills & Research Interests

Astrophysics - Plasma Physics - Numerical simulations

Top articles of Hubert BATY

Title

Journal

Author(s)

Publication Date

Modelling solar coronal magnetic fields with physics-informed neural networks

Monthly Notices of the Royal Astronomical Society

Hubert Baty

Vincent Vigon

2024/1

A hands-on introduction to Physics-Informed Neural Networks for solving partial differential equations with benchmark tests taken from astrophysics and plasma physics

arXiv preprint arXiv:2403.00599

Hubert Baty

2024/3/1

Solving differential equations using physics informed deep learning: a hand-on tutorial with benchmark tests

arXiv preprint arXiv:2302.12260

Hubert Baty

Léo Baty

2023/2/23

Solving higher-order Lane-Emden-Fowler type equations using physics-informed neural networks: benchmark tests comparing soft and hard constraints

arXiv preprint arXiv:2307.07302

Hubert Baty

2023/7/14

Modelling Lane–Emden type equations using Physics-Informed Neural Networks

Astronomy and Computing

Hubert Baty

2023/7/1

Solving stiff ordinary differential equations using physics informed neural networks (PINNs): simple recipes to improve training of vanilla-PINNs

IAENG Transactions on Engineering Technologies: Special Volume of the World Congress on Engineering 2012

Siti Ainor Mohd Yatim

Zarina Bibi Ibrahim

Khairil Iskandar Othman

Mohamed Suleiman

2013

A robust and efficient solver based on kinetic schemes for magnetohydrodynamics (MHD) equations

Applied Mathematics and Computation

Hubert Baty

Florence Drui

Philippe Helluy

Emmanuel Franck

Christian Klingenberg

...

2023/3/1

Hyperbolic method to explore multiplicity flow solutions in a four-sided lid-driven cavity

arXiv preprint arXiv:2207.06045

Hubert Baty

2022/7/13

Reconnexion magnétique et instabilités magnétohydrodynamiques dans les plasmas

Hubert Baty

2022/7/1

On the Sweet-Parker model for incompressible visco-resistive magnetic reconnection in two dimensions associated to ideal magnetohydrodynamic instabilities

arXiv preprint arXiv:2201.01135

Hubert Baty

2022/1/4

On the explosive phase of the tearing mode in double current sheet plasmas: effect of the equilibrium magnetic configuration on the onset threshold and growth rate

arXiv preprint arXiv:2107.10069

Hubert Baty

2021/7/21

Petschek-type reconnection in the high-Lundquist-number regime during nonlinear evolution on the tilt instability

arXiv preprint arXiv:2005.04221

Hubert Baty

2020/5/8

On the growth rate of plasmoid chains during nonlinear viscoresistive evolution of the tilt instability

arXiv preprint arXiv:2003.08660

Hubert Baty

2020/3/18

Formation of plasmoid chains and fast magnetic reconnection during nonlinear evolution of the tilt instability

arXiv preprint arXiv:2001.07036

Hubert Baty

2020/1/20

A kinetic method for solving the MHD equations. Application to the computation of tilt instability on uniform fine meshes

Preprint available from https://hal. inria. fr/hal-02965967v1

Hubert Baty

Florence Drui

Emmanuel Franck

Philippe Helluy

Christian Klingenberg

...

2020

Magnetic reconnection and plasmoid formation driven by the two-dimensional resistive kink instability in a current hole configuration

arXiv preprint arXiv:2006.15013

Hubert Baty

2020/6/25

See List of Professors in Hubert BATY University(Université de Strasbourg)

Co-Authors

H-index: 79
E R Priest

E R Priest

University of St Andrews

H-index: 29
Seiji Zenitani

Seiji Zenitani

Kobe University

H-index: 16
Thibaut Lery

Thibaut Lery

King Abdullah University of Science and Technology

academic-engine