Papers matching “machine parameter optimization” 255
Not finding it? Sign in to also search OpenAlex live.
-
Objectifying Machine Setup and Parameter Selection in Expert Knowledge Dependent Industries Using Invertible Neural Networks2022 Lecture notes in mechanical engineering conference-paper Computer Science Neural Networks and Applications Open access
Kai Müller, Andrés Felipe Posada-Moreno, Lukas Pelzer, Thomas Gries
1citations -
Optimization of the Operating Behavior of Spur Gears Through Machine Hammer Peening2026 Journal of Manufacturing and Materials Processing article Engineering Surface Treatment and Residual Stress Open access
Mohammad Dadgar, Sebastian Sklenak, Martina Müller, Tim Herrig, René Greschert, Dieter Mevissen, +2 more
1citations -
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti
0citations -
Advancing Sustainable Manufacturing: Multidimensional Optimization of the Thermal Behavior of Machine Tools2026 Lecture notes in production engineering conference-paper Engineering Advanced Measurement and Metrology Techniques Open access
C. Brecher, Stephan Neus, Ralph Klimaschka, J. Schäfer, Alexander Steinert
0citations -
Avoiding Replicates in Biocatalysis Experiments: Machine Learning for Enzyme Cascade Optimization2024 ChemCatChem article Biochemistry, Genetics and Molecular Biology Enzyme Catalysis and Immobilization Open access
Regine Siedentop, Maximilian Siska, Johanna Hermes, Stephan Lütz, Eric von Lieres, Katrin Rosenthal
9citations -
Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods2023 Light Science & Applications article Materials Science Metamaterials and Metasurfaces Applications Open access cited by 1 patent
Wenye Ji, Jin Chang, He‐Xiu Xu, J. R. Gao, Simon Gröblacher, Hendrik Paul Urbach, +1 more
270citations -
Recent Advances in Metasurface Design and Quantum Optics Applications with Machine Learning, Physics-Informed Neural Networks, and Topology Optimization Methods2023 arXiv (Cornell University) preprint Materials Science Metamaterials and Metasurfaces Applications Open access
Wenye Ji, He‐Xiu Xu, Jian Gao, Simon Gröblacher, Paul Urbach, Aurèle J. L. Adam
0citations -
Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks97citations
-
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access cited by 1 patent
Medad C.C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
4citations -
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more
1citations