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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 -
FPGA-accelerated Binary Neural Networks as a surrogate model for a viscoplastic constitutive law in impulsively loaded beams2025 Mechanics Research Communications article Computer Science Advanced Neural Network Applications Open access
Vasileios Polydoras, Saurabh Balkrishna Tandale, Rutwik Gulakala, Marcus Stoffel
2citations -
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 -
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications2025 JuSER (Forschungszentrum Jülich) preprint Computer Science Advanced Neural Network Applications Open access
Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov, Qader Dorosti, Chimezie Eguzo, Sarah Fleitmann, +3 more
0citations -
Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids2023 Computers & Chemical Engineering article Chemical Engineering Ionic liquids properties and applications Open access
Jan G. Rittig, Karim Ben Hicham, Artur M. Schweidtmann, Manuel Dahmen, Alexander Mitsos
86citations -
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids2022 RWTH Publications (RWTH Aachen) article Chemical Engineering Ionic liquids properties and applications Open access
Jan G. Rittig, Karim Ben Hicham, Artur M. Schweidtmann, Manuel Dahmen, Alexander Mitsos
2citations -
Newton versus the machine: solving the chaotic three-body problem using deep neural networks2020 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Model Reduction and Neural Networks Open access
Philip G. Breen, Christopher N. Foley, Tjarda Boekholt, Simon Portegies Zwart
97citations