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Papers matching “data-driven computational mechanics” 50

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Efficient data structures for model-free data-driven computational mechanics
2021 Computer Methods in Applied Mechanics and Engineering article Engineering Numerical methods in engineering Open access

Robert Eggersmann, Laurent Stainier, M. Ortíz, Stefanie Reese

67

citations
Model-free data-driven computational mechanics enhanced by tensor voting
2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

Robert Eggersmann, Laurent Stainier, M. Ortíz, Stefanie Reese

82

citations
Stochastic and deterministic algorithms for set-based data-driven computational mechanics
2026 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

E. Prume

0

citations
Model-free Data-Driven inference in computational mechanics
2022 Computer Methods in Applied Mechanics and Engineering article Decision Sciences Probabilistic and Robust Engineering Design Open access

Erik Prume, Stefanie Reese, M. Ortíz

32

citations
Efficient data structures for data-driven mechanics
2021 conference-paper Engineering Numerical methods in engineering Open access

Robert Eggersmann, E. Prume, Laurent Stainier, Miguel Ortiz

0

citations
Computational homogenization and data-driven surrogate modeling of mechanical metamaterials
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Cellular and Composite Structures Open access

Hooman Danesh

0

citations
Efficient evaluation of mechanical properties for two-phase materials using a direct data-driven approach
2025 Materials & Design article Materials Science Machine Learning in Materials Science Open access

Mayu Muramatsu, Stefanie Reese, Erik Prume

0

citations
A sparse basis for equilibrium stress fields with application for direct data-driven mechanics
2026 Computer Methods in Applied Mechanics and Engineering article Engineering Numerical methods in engineering Open access

Erik Prume, Chenyi Ji, Stefanie Reese, Michael Ortiz

1

citations
Efficient Evaluation of Mechanical Properties for Two-Phase Materials Using a Direct Data-Driven Approach
2025 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access

Misato Suzuki, Mayu Muramatsu, Stefanie Reese, Erik Prume

0

citations
Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning
2020 Journal of Computational Physics article Materials Science Machine Learning in Materials Science Open access cited by 3 patents

Kevin Linka, Markus Hillgärtner, Kian P. Abdolazizi, Roland Can Aydin, Mikhail Itskov, Christian Johannes Cyron

341

citations
Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD
2021 International Journal of Neural Systems article Neuroscience EEG and Brain-Computer Interfaces

Jana Zweerings, Kiira Karoliina Sarasjärvi, Krystyna A. Mathiak, Jorge Iglesias-Fuster, Fengyu Cong, Mikhail Zvyagintsev, +1 more

7

citations
Circular Data: A Hybrid Intelligence Framework for Data-Driven Disassembly and Repair in the Circular Economy
2026 Procedia CIRP article Business, Management and Accounting Sustainable Supply Chain Management Open access

Doris Aschenbrenner, Nadine Yilmaz, Anna Geliev, Nicole Stricker, Kathleen Diener

0

citations
Towards a data-driven assistance system for operating segment erectors in tunnel boring machines
2021 International Symposium on Computational Intelligence and Design conference-paper Engineering Tunneling and Rock Mechanics

Hans Aoyang Zhou, Aymen Gannouni, Christian Gentz, Johannes Tröndle, Stephan Neumann, Anas Abdelrazeq, +2 more

3

citations
Data-driven prediction of dynamic elastic properties in short fiber-reinforced thermoplastics
2026 Computational Mechanics article Engineering Composite Material Mechanics

Sally Rüschendorf, Kai‐Uwe Schröder, Markus Stommel, Alexander Kriwet, Fabian Urban

0

citations
Modeling Unsteady Flows for Aeroelasticity Through Machine Learning and Data-Driven Methods
2024 AIAA SciTech Forum conference-paper Physics and Astronomy Model Reduction and Neural Networks cited by 1 patent

Jiaqing Kou, Matthias H. Meinke, Wolfgang Schröeder, Daning Huang

0

citations
Data-driven reduced order surrogate modeling for coronary in-stent restenosis
2024 Computer Methods and Programs in Biomedicine article Physics and Astronomy Model Reduction and Neural Networks Open access

Jianye Shi, Kiran Manjunatha, Felix Jan Vogt, Stefanie Reese

2

citations
A data-driven elucidation of the challenges in designing stable quinone derivatives for aqueous organic redox flow batteries: correlations between thermodynamics of chemical degradation and energy capacity metrics
2026 Institutional Repositories DataBase (IRDB) article Engineering Advanced battery technologies research Open access

Ning Lu, Shiyao Ju, Daniel Willimetz, Shengming Tang, Abhishek Khetan

0

citations
A data-driven elucidation of the challenges in designing stable quinone derivatives for aqueous organic redox flow batteries: correlations between thermodynamics of chemical degradation and energy capacity metrics
2026 Science and Technology of Advanced Materials article Engineering Advanced battery technologies research Open access

Ning Lu, Shiyao Ju, Daniel Willimetz, Shengming Tang, Abhishek Khetan

0

citations
A data‐driven solver scheme for inelastic problems
2023 PAMM article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Erik Prume, Laurent Stainier, M. Ortíz, Stefanie Reese

2

citations
Cross-Company Data Sharing Using Distributed Analytics
2025 Systems article Business, Management and Accounting Big Data and Business Intelligence Open access

Soo-Yon Kim, Stefanie Berninger, Max Kocher, Martin Perau, Sandra Geisler

3

citations
Evaluation of Computational Chemistry Methods for Predicting Redox Potentials of Quinone-Based Cathodes for Li-Ion Batteries
2021 Batteries article Engineering Advancements in Battery Materials Open access

Xuan Zhou, Abhishek Khetan, Süleyman Er

11

citations
Tiefes Lernen in der Finite-Elemente-Methode
2021 RWTH Publications (RWTH Aachen) book Physics and Astronomy Model Reduction and Neural Networks Open access

Arnd Koeppe

9

citations
LLMs as designers of physics-constrained neural networks for constitutive modeling: a demonstration on hyperelastic solids
2026 Machine learning for computational science and engineering article Engineering Elasticity and Material Modeling Open access

M. Tacke, M. Busch, Kian Abdolazizi, Jonas Eichinger, Kevin Linka, Christian Johannes Cyron, +1 more

0

citations
Comparison of surface and subsurface data for the construction of a comprehensive DFN model
2025 conference-abstract Engineering Rock Mechanics and Modeling Open access

Sarah Perkams, Peter Achtziger-Zupančič, Florian Amann

0

citations
Microstructure-informed mechanics and fracture behavior of open-porous materials
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Composite Material Mechanics Open access

Rajesh Chandrasekaran

1

citations