Lukas Daniel Domenig

Graz University of Technology (90000)

Austria

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Articles (11)

Methods to Compute Magnetic Flux Linkages Along H-Based Finite Element Formulations

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Year:

2025

Magnetoelastic Vector Hysteresis Modeling for Electromagnetic Devices: A Combination of a Multiscale Model With the Energy-Based Hysteresis Framework

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Year:

2025

On Forward and Inverse Energy-Based Magnetic Vector Hysteresis Operators

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Year:

2025

On nonlinear magnetic field solvers using local Quasi-Newton updates

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Year:

2025

Physics-Informed Neural Anhysteresis Surrogate for Magneto-Elastic Vector Hysteresis in Device Simulations

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Year:

2025

Incorporation of a 3-D Energy-Based Vector Hysteresis Model Into the Finite Element Method Using a Reduced Scalar Potential Formulation

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Year:

2024

Identification of Parameters to Correctly Adapt Energy-Based Hysteresis Models Regarding Rotational Losses

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Year:

2024

Current transformer hysteresis modelling for condition assessment under standard and non-standard operation

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Year:

2024

Employing automatic differentiation and neural networks for parameter identification of an energy based hysteresis model

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Year:

2023

Toward a simple topological model of a three-phase transformer including deep saturation conditions

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Year:

2023

Comparing two topology transformer hysteresis models derived from DC hysteresis measurements

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Year:

2023

Collaborators (4)

Alexander Sauseng

Graz University of Technology (90000)

AUSTRIA

Herbert De Gersem

Professor

TU Darmstadt

GERMANY

Nicolai Schwartze

Graz University of Technology (90000)

AUSTRIA

Manfred Kaltenbacher

Graz University of Technology

AUSTRIA

Lukas Daniel Domenig

Research Interests

Explore related searches

Contact this professor

Articles (11)

Methods to Compute Magnetic Flux Linkages Along H-Based Finite Element Formulations

Magnetoelastic Vector Hysteresis Modeling for Electromagnetic Devices: A Combination of a Multiscale Model With the Energy-Based Hysteresis Framework

On Forward and Inverse Energy-Based Magnetic Vector Hysteresis Operators

On nonlinear magnetic field solvers using local Quasi-Newton updates

Physics-Informed Neural Anhysteresis Surrogate for Magneto-Elastic Vector Hysteresis in Device Simulations

Incorporation of a 3-D Energy-Based Vector Hysteresis Model Into the Finite Element Method Using a Reduced Scalar Potential Formulation

Identification of Parameters to Correctly Adapt Energy-Based Hysteresis Models Regarding Rotational Losses

Current transformer hysteresis modelling for condition assessment under standard and non-standard operation

Employing automatic differentiation and neural networks for parameter identification of an energy based hysteresis model

Toward a simple topological model of a three-phase transformer including deep saturation conditions

Comparing two topology transformer hysteresis models derived from DC hysteresis measurements

Collaborators (4)

Alexander Sauseng

Herbert De Gersem

Nicolai Schwartze

Manfred Kaltenbacher

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