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Extrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach2025 Advanced Modeling and Simulation in Engineering Sciences article Engineering Tribology and Lubrication Engineering Open access
Faras Brumand‐Poor, Freddy Kokou Azanledji, Nils Plückhahn, Florian Barlog, Lukas Boden, Katharina Schmitz
9citations -
Transfer-learned Kolosov–Muskhelishvili informed neural networks for fracture mechanics2026 Theoretical and Applied Fracture Mechanics article Engineering Numerical methods in engineering Open access
Shuwei Zhou, Christian Häffner, Shuancheng Wang, Sophie Stebner, Zhen Liao, Bing Yang, +2 more
4citations -
Modeling of equivalent strain in 2D cross-sections of open die forged components using neural networks2024 Advances in Industrial and Manufacturing Engineering article Engineering Metal Forming Simulation Techniques Open access
Nikhil Vijay Jagtap, Niklas Reinisch, Rasul Abdusalamov, David Benjamin Bailly, Mikhail Itskov
1citations -
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping2022 Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture conference-paper Engineering Advanced Memory and Neural Computing
Sonali Singh, Anup Sarma, Sen Kai Lu, Abhronil Sengupta, Mahmut Kandemir, Emre Neftci, +2 more
13citations