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Papers matching “operating model” 3,597

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Tumor Burden Score als Prädiktor des 1-Jahr-Gesamtüberlebens nach kurativer Leberresektion bei kolorektalen Lebermetastasen
2022 Zeitschrift für Gastroenterologie article Medicine Colorectal Cancer Treatments and Studies

Iakovos Amygdalos, Alexandros Chrysos, K. Jöchle, Jan Bednarsch, Zoltán Czigány, Lea Hitpaß, +8 more

0

citations
Preoperative ratio of C-reactive protein to albumin is a practical prognostic score for major postoperative complications in patients with colorectal liver metastases
2024 Zeitschrift für Gastroenterologie article Medicine Inflammatory Biomarkers in Disease Prognosis

Alexandros Chrysos, K. Jöchle, F. Meister, Roman Eickhoff, Martin von Websky, Oliver Beetz, +3 more

0

citations
Report on 2111.07320v1
2021 peer-review Physics and Astronomy Quantum and electron transport phenomena Open access

Konstantin Nestmann, M. R. Wegewijs

0

citations
Report on 2103.15615v2
2021 peer-review Physics and Astronomy Topological Materials and Phenomena Open access

M. J. Pacholski, G. Lemut, J. Tworzydło, C. W. J. Beenakker

0

citations
Report on 2103.15615v2
2021 peer-review Physics and Astronomy Topological Materials and Phenomena Open access

M. J. Pacholski, G. Lemut, J. Tworzydło, C. W. J. Beenakker

0

citations
P18.02.B ANALYSIS OF TUMOR RELAPSE PROBABILITY AND OVERALL SURVIVAL PREDICTION FOLLOWING CONCOMITANT RADIOTHERAPY WITH TEMOZOLOMIDE USING FET PET IN PATIENTS WITH GLIOBLASTOMA
2024 Neuro-Oncology conference-abstract Medicine Glioma Diagnosis and Treatment Open access

Isabelle Stetter, Jan‐Michael Werner, Michael Wollring, Garry S. Ceccon, Philipp Lohmann, Gabriele Stoffels, +4 more

0

citations
Low-rank tensor methods for Markov chains with applications to tumor progression models
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

0

citations
Report on 2111.07320v1
2022 peer-review Physics and Astronomy Quantum and electron transport phenomena Open access

Konstantin Nestmann, M. R. Wegewijs

0

citations
A Digital Shadow for Accurate Robot Motion Control: Integrating Data with Friction Models
2025 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) conference-paper Engineering Dynamics and Control of Mechanical Systems Open access

Malte Heithoff, Minh Trinh, Judith Michael, Bernhard Rumpe⋆

3

citations
SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures
2025 Journal of the Mechanics and Physics of Solids article Physics and Astronomy Model Reduction and Neural Networks Open access

Ali Harandi, Hooman Danesh, Kevin Linka, Stefanie Reese, Shahed Rezaei

21

citations
Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics
2022 Annual Conference of the Society of Instrument and Control Engineers (SICE) conference-paper Physics and Astronomy Model Reduction and Neural Networks

Naoto Komeno, Brendan Michael, Katharina Kuchler, Edgar Anarossi, Takamitsu Matsubara

13

citations
Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Rishabh Arora, Lisa Scheunemann, Tim Brepols, Shahed Rezaei

0

citations
Tackling multiphysics problems via finite element guided physics-informed operator learning
2026 Results in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

Yusuke Yamazaki, Reza Najian Asl, Markus Apel, Mayu Muramatsu, Shahed Rezaei

2

citations
About the trustworthiness of physics-based machine learning – considerations for geomechanical applications
2025 Solid Earth article Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Moritz Ziegler, Oliver Heidbach, Andreas Henk, Karsten Reiter, Florian Wellmann

6

citations
About the Trustworthiness of Physics-Based Machine Learning – A Considerations for Geomechanical Applications
2024 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Moritz Ziegler, Oliver Heidbach, Andreas Henk, Karsten Reiter, Florian Wellmann

1

citations
Comment on egusphere-2024-2932
2024 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access

0

citations
Comment on egusphere-2024-2932
2025 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access

0

citations
Process-based machine learning for multi-physics and chemistry in geothermal applications: parameter estimation and optimization under uncertainties
2024 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Ryan Santoso

0

citations
Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marah Almanasreh, Alexander Mitsos, Eike Cramer

0

citations
Data-Free Weak-Form Staggered Neural Operators for Magneto-Mechanical Coupling in Finite-Strain Elastomers
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Alireza Yazdandousthamedani, Ahmad Moeineddin, Reza Najian Asl, Shahed Rezaei, Michael Kaliske

0

citations
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

2

citations
Geometry-Aware Physics-Informed Neural Network: A Framework for Solving the Reynolds Equation with Starvation for Lubricated Contacts
2026 conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

Faras Brumand‐Poor, Artem Konstantinov, Darren Lam Ming Hui, Eric Guntermann, Jakob Wirtz, Prof. Katharina Schmitz

0

citations
Physics‐Informed Fourier Neural Operator for Predicting the Full‐Field Stress and Strain Response of Polycrystalline Microstructures
2026 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Ahmad Awad, Lisa Scheunemann

0

citations
Rotation Equivariant Operators for Machine Learning on Scalar and Vector Fields
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Venkat Viswanathan

0

citations
Mori–Zwanzig latent space Koopman closure for nonlinear autoencoder
2025 Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences article Physics and Astronomy Model Reduction and Neural Networks Open access

Priyam Gupta, Peter J. Schmid, Denis Sipp, Taraneh Sayadi

13

citations