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Philipp Brendel
Observed name:
Brendel, Philipp
Institution:
Fraunhofer Institute for Integrated Systems and Device Technology
Observed institutions:
Fraunhofer Institute for Integrated Circuits,
Fraunhofer Institute for Integrated Systems and Device Technology
ORCID:
0000-0002-0433-1013
Observed ORCID:
0000-0002-0433-1013
OpenAlex ID:
A5015047155
Accurate prediction of EUV lithographic images and 3D mask effects using generative networks
2021
·
Abdalaziz Awad
, Philipp Brendel
, et al.
·
Journal of Micro/Nanopatterning Materials and Metrology
·
23
PDF
Physics-Informed Neural Networks for Magnetostatic Problems on Axisymmetric Transformer Geometries
2023
·
Philipp Brendel
, Vlad Medvedev
, et al.
·
IEEE Journal of Emerging and Selected Topics in Industrial Electronics
·
21
PDF
Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings
2025
·
Straub, Christopher
, Brendel, Philipp
, et al.
·
arXiv (Cornell University)
·
12
PDF
Convolutional Physics-Informed Neural Networks for Fast Prediction of Core Losses in Axisymmetric Transformers
2024
·
Philipp Brendel
, Vlad Medvedev
, et al.
·
IEEE Transactions on Magnetics
·
12
Parametrized physics-informed deep operator networks for Design of Experiments applied to Lithium-Ion-Battery cells
2025
·
Philipp Brendel
, Igor Mele
, et al.
·
Journal of Energy Storage
·
10
Physics-informed operator learning for parameter estimation in lithium-ion-battery models enhanced by global experimental design and local identifiability analysis
2026
·
Philipp Brendel
, Christopher Straub
, et al.
·
Energy and AI
·
3
PDF
Convolutional Physics- Informed Neural Networks for Fast Prediction of Core Losses in Axisymmetric Transformers
2024
·
Philipp Brendel
, Vlad Medvedev
, et al.
·
Digest of the Fifth Biennial IEEE Conference on Electromagnetic Field Computation
·
2
Physics-informed operator learning for parameter estimation in lithium-ion-battery models enhanced by global experimental design and local identifiability analysis
2026
·
Brendel, Philipp
, Straub, Christopher
, et al.
·
Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Physics-Informed Operator Learning for Parameter Estimation in Lithium-Ion-Battery Models Enhanced by Global Experimental Design and Local Identifiability Analysis
2026
·
Brendel, Philipp
, Straub, Christopher
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Parametrized Physics-Informed Neural Operators for Lithium-Ion-Battery Modeling
2026
·
Brendel, Philipp
, Rosskopf, Andreas
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Verbundprojekt: TinyPART - Tiny, private, proved and isolated - Identifikationsverfahren und physikalische Modelle basierend auf dem radiometrischen Geräteprofil ressourcenbeschränkter Hardware
2025
·
Brendel, Philipp
, Al-Askary, Manar
, et al.
·
RENATE
Use case specific battery testing boundary conditions and DOE methods
2024
·
Brendel, Philipp
·
Zenodo (CERN European Organization for Nuclear Research)
Convolutional Physics-Informed Neural Networks for Fast Prediction of Core Losses in Axisymmetric Transformers
2024
·
Brendel, Philipp
, Medvedev, Vlad
, et al.
·
Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Continuously Adapting Random Sampling (CARS) for Power Electronics Parameter Design
2023
·
Happel, Dominik
, Brendel, Philipp
, et al.
·
arXiv (Cornell University)
PDF
Training data selection and optimization for EUV lithography deep learning models
2023
·
Abdalaziz Awad
, Philipp Brendel
, et al.
·
DTCO and Computational Patterning
Data efficient deep learning for imaging with novel EUV mask absorbers
2022
·
Abdalaziz Awad
, Philipp Brendel
, et al.
·
SPIE Optical and EUV Nanolithography
Accurate prediction of EUV lithographic images using data-efficient generative networks
2021
·
Abdalaziz Awad
, Philipp Brendel
, et al.
·
Computational Optics
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Works count:
21
Citation count:
83
H-index:
5
I10-index:
5
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