	1 2
International Journal of Plasticity	International Journal of Plasticity, 2, 33.33% International Journal of Plasticity 2 publications, 33.33%
Dynamics	Dynamics, 1, 16.67% Dynamics 1 publication, 16.67%
Journal of Magnesium and Alloys	Journal of Magnesium and Alloys, 1, 16.67% Journal of Magnesium and Alloys 1 publication, 16.67%
Mechanics of Materials	Mechanics of Materials, 1, 16.67% Mechanics of Materials 1 publication, 16.67%
Physics of Fluids	Physics of Fluids, 1, 16.67% Physics of Fluids 1 publication, 16.67%
	1 2

Publishers

	1 2 3 4
Elsevier	Elsevier, 4, 66.67% Elsevier 4 publications, 66.67%
MDPI	MDPI, 1, 16.67% MDPI 1 publication, 16.67%
AIP Publishing	AIP Publishing, 1, 16.67% AIP Publishing 1 publication, 16.67%
	1 2 3 4

We do not take into account publications without a DOI.
Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.

Metrics

Cite this

GOST |

Cite this

GOST Copy

Latypov F. T. et al. Modeling of shock wave propagation in porous magnesium based on artificial neural network // Mechanics of Materials. 2024. Vol. 191. p. 104953.

GOST all authors (up to 50) Copy

Latypov F. T., Fomin E., Krasnikov V. S., Mayer A. E. Modeling of shock wave propagation in porous magnesium based on artificial neural network // Mechanics of Materials. 2024. Vol. 191. p. 104953.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1016/j.mechmat.2024.104953

UR - https://linkinghub.elsevier.com/retrieve/pii/S0167663624000450

TI - Modeling of shock wave propagation in porous magnesium based on artificial neural network

T2 - Mechanics of Materials

AU - Latypov, Fanil T.

AU - Fomin, E.V.

AU - Krasnikov, Vasiliy S

AU - Mayer, A E

PY - 2024

DA - 2024/04/01

PB - Elsevier

SP - 104953

VL - 191

SN - 0167-6636

SN - 1872-7743

ER -

BibTex

Cite this

BibTex (up to 50 authors) Copy

@article{2024_Latypov,

author = {Fanil T. Latypov and E.V. Fomin and Vasiliy S Krasnikov and A E Mayer},

title = {Modeling of shock wave propagation in porous magnesium based on artificial neural network},

journal = {Mechanics of Materials},

year = {2024},

volume = {191},

publisher = {Elsevier},

month = {apr},

url = {https://linkinghub.elsevier.com/retrieve/pii/S0167663624000450},

pages = {104953},

doi = {10.1016/j.mechmat.2024.104953}

}

Publisher

Elsevier

Journal

Mechanics of Materials

scimago Q1

wos Q1

SJR

0.991

CiteScore

7.3

Impact factor

4.1

ISSN

01676636 (Print)

18727743

Profiles