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When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming2025 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more
1citations -
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti
0citations -
FOCUS : A framework for energy system optimization from prosumer to district and city scale2023 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access
Jingyu Gong, Jonas van Ouwerkerk, Felix Wege, Mauricio Celi Cortés, Christoph von Oy, Jonas Brucksch, +5 more
2citations -
Quantifying the Influence of Combined Lung and Kidney Support Using a Cardiovascular Model and Sensitivity Analysis-Informed Parameter Identification2024 arXiv (Cornell University) preprint Engineering Mechanical Circulatory Support Devices Open access
Jan‐Niklas Thiel, Ana Martins Costa, Bettina Wiegmann, Jutta Arens, Ulrich Steinseifer, Michael Neidlin
0citations -
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access
Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe
0citations -
End-to-end resource analysis for quantum interior point methods and portfolio optimization2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Alexander M. Dalzell, B. D. Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A. Bader, +5 more
3citations