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R 3 AG 2025: Workshop on Refined and Reliable Retrieval-Augmented Generation2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP) conference-paper Computer Science Topic Modeling Open access
Hai-Tao Yu, Xuri Ge, Xin Xin, Zihan Wang, Junchen Fu, Joemon M. Jose, +2 more
0citations -
Thermal Runaway Safety and Mitigation in Lithiumion Battery Packs Using Immersion Cooling for Electric Vehicles and Next Generation Aircraft2026 IEEE Transportation Electrification Conference and Expo conference-paper Engineering Battery Modeling and Management Open access
Abdul Wahab, Bhargav Shiva Sai Vanjarapu, Nima Amjady, Hans Kemper, Hamid Khayyam
0citations -
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces2025 neural information processing systems conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Alejandro García-Castellanos, David R. Wessels, Nicky J. van den Berg, Remco Duits, Daniël M. Pelt, Erik J. Bekkers
1citations -
SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures2025 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
21citations -
Global Sensitivity Analysis to Improve Geomechanical Stress Characterizations Using Physics-Based Machine Learning Models2025 EGU General Assembly Conference Abstracts conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access
Racha Achour, Denise Degen, Moritz Ziegler, Oliver Heidbach, Andreas Henk, Karsten Reiter, +2 more
0citations -
Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
31citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
0citations -
Recurrent neural networks as a physics-based self-learning solver to satisfy plane stress viscoplasticity undergoing isotropic damage2024 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks Open access
Saurabh Balkrishna Tandale, Vasileios Polydoras, Marcus Stoffel
3citations -
Data-Free Weak-Form Staggered Neural Operators for Magneto-Mechanical Coupling in Finite-Strain Elastomers2026 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
0citations -
Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start2025 Journal of Chemical Information and Modeling article Engineering Process Optimization and Integration Open access
Yifan Wang, Lorenz Fleitmann, Lukas Raßpe-Lange, Niklas V. von der Assen, André Bardow, Kai O. Leonhard
2citations