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Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks
Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel
10citations -
Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning2026 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Kianoosh Taghikhani, Yusuke Yamazaki, Markus Apel, Reza Najian Asl, Shahed Rezaei
1citations -
An approach to encode divergence-free stress fields in neural approximations based on stress potentials2026 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Mohammad Sarkari Khorrami, Pawan Goyal, Soroush Motahari, David Oexle, Jaber Rezaei Mianroodi, Bob Svendsen, +2 more
0citations -
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer2025 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access
Rebecca Pelke, José Cubero-Cascante, Nils Bosbach, Niklas Degener, Florian Idrizi, Lennart M. Reimann, +2 more
0citations -
A data-driven EIS approach for developing PEM fuel cell operation maps: A pathway towards applying neural networks2025 International Journal of Hydrogen Energy article Engineering Fuel Cells and Related Materials Open access
Oliver Schopen, Leon Bellinghausen, Thomas Esch, Bahman Shabani
6citations -
Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Sarthak Kapoor, Jaber Rezaei Mianroodi, Mohammad Sarkari Khorrami, Nima S. Siboni, Bob Svendsen
3citations -
Filamentary TaO x /HfO 2 ReRAM Devices for Neural Networks Training with Analog In‐Memory Computing2022 Advanced Electronic Materials article Engineering Advanced Memory and Neural Computing Open access
Tommaso Stecconi, Roberto Guido, Luca Berchialla, Antonio La Porta, Jonas Weiß, Youri Popoff, +8 more
43citations -
X-Fault: Impact of Faults on Binary Neural Networks in Memristor-Crossbar Arrays with Logic-in-Memory Computation2022 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) conference-paper Engineering Advanced Memory and Neural Computing
Felix Staudigl, Karl J. X. Sturm, Maximilian Bartel, Thorben Fetz, Dominik Šišejković, Jan Moritz Joseph, +2 more
10citations -
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems2022 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification
Xixi Zhang, Haitao Zhao, Hongbo Zhu, Bamidele Adebisi, Guan Gui, Haris Gacanin, +1 more
115citations