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Papers matching “computational homogenization” 20

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An Embedded Corrector Problem for Homogenization. Part I: Theory
2020 Multiscale Modeling and Simulation article Computer Science Advanced Mathematical Modeling in Engineering

Éric Cancès, Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

7

citations
An embedded corrector problem for homogenization. Part II: Algorithms and discretization
2020 Journal of Computational Physics article Computer Science Advanced Mathematical Modeling in Engineering Open access

Éric Cancès, Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

9

citations
Translationale Modellierung der Wirksamkeit von Medikamenten in Krebspatienten
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Computational Drug Discovery Methods Open access

Lisa-Katrin Schätzle

0

citations
Modelling of two-scale contact - Investigation of leakage in polymer seals at cryogenic temperatures
2022 European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) conference-paper Computer Science Contact Mechanics and Variational Inequalities Open access

K. Martin, J. Waimann, Stefanie Reese

0

citations
EMBER
2022 ACM Transactions on Graphics article Computer Science Computational Geometry and Mesh Generation cited by 1 patent

Philip Trettner, Julius Nehring-Wirxel, Leif P. Kobbelt

38

citations
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites
2022 IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) conference-paper Computer Science Parallel Computing and Optimization Techniques

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +4 more

19

citations
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +4 more

2

citations
Memory-centric architectures for energy-efficient cryptographic hardware in edge applications
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Cryptographic Implementations and Security Open access

Shutao Zhang

0

citations
Towards FAIR Data Stream Processing Ecosystems
2024 ACM International Conference on Distributed and Event-Based Systems (DEBS) conference-paper Computer Science Advanced Database Systems and Queries

Liam Tirpitz

3

citations
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites - Measurement Data
2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Parallel Computing and Optimization Techniques Open access

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +3 more

1

citations
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites - Measurement Data
2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Parallel Computing and Optimization Techniques Open access

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +3 more

0

citations
Computing monomial bases in Lie theory using OSCAR
2024 arXiv (Cornell University) preprint Computer Science Polynomial and algebraic computation Open access

Xin Fang, Lars Göttgens, Ben Wilop

0

citations
Characterizing the Age of Information With Multiple Coexisting Data Streams
2025 IEEE Transactions on Information Theory article Computer Science Age of Information Optimization Open access

Yoshiaki Inoue, Michel Mandjes

9

citations
An Experimental Setup to Evaluate RAPL Energy Counters for Heterogeneous Memory
2024 ACM/SPEC International Conference on Performance Engineering (ICPE) conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Lukas Alt, Anara Kozhokanova, Thomas Ilsche, Christian Terboven, Matthias Mueller

6

citations
Data variability in neural network Bayesian inference
2025 Physical Review Research article Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

4

citations
Comment on egusphere-2025-6346
2026 peer-review Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Henrique do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more

0

citations
Comment on egusphere-2025-6346
2026 peer-review Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Henrique do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more

0

citations
ImageGrains 2.0: Improved precision and generalization for grain segmentation
2026 preprint Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +8 more

0

citations
A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
ImageGrains 2.0: Improved precision and generalization for grain segmentation
2026 Earth Surface Dynamics article Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more

0

citations

20 results