Partial-differential-algebraic equations of nonlinear dynamics by physics-informed neural-network: (I) Operator splitting and framework assessment

Loc Vu-Quoc; Alexander Humer

doi:10.1002/nme.7586

Partial-differential-algebraic equations of nonlinear dynamics by physics-informed neural-network: (I) Operator splitting and framework assessment

Institute of Technical Mechanics

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	e7586
Number of pages	37
Journal	International Journal for Numerical Methods in Engineering
DOIs	https://doi.org/10.1002/nme.7586
Publication status	Published - 2024

Fields of science

203015 Mechatronics
203022 Technical mechanics
102009 Computer simulation

JKU Focus areas

Digital Transformation

Access to Document

10.1002/nme.7586

Cite this

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title = "Partial-differential-algebraic equations of nonlinear dynamics by physics-informed neural-network: (I) Operator splitting and framework assessment",

author = "Loc Vu-Quoc and Alexander Humer",

year = "2024",

doi = "10.1002/nme.7586",

language = "English",

journal = "International Journal for Numerical Methods in Engineering",

issn = "1097-0207",

publisher = "John Wiley & Sons, Ltd.",

}

TY - JOUR

T1 - Partial-differential-algebraic equations of nonlinear dynamics by physics-informed neural-network: (I) Operator splitting and framework assessment

AU - Vu-Quoc, Loc

AU - Humer, Alexander

PY - 2024

Y1 - 2024

U2 - 10.1002/nme.7586

DO - 10.1002/nme.7586

M3 - Article

SN - 1097-0207

JO - International Journal for Numerical Methods in Engineering

JF - International Journal for Numerical Methods in Engineering

M1 - e7586

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