Papers matching “deep learning surrogate model” 11
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Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model2022 Probabilistic Engineering Mechanics article Engineering Additive Manufacturing Materials and Processes Open access
Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken
20citations -
Uncertainty Quantification in the Directed Energy Deposition Process Using Deep Learning-Based Probabilistic Approach2022 Key engineering materials article Engineering Additive Manufacturing Materials and Processes Open access
Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken
4citations -
Systematic framework for deep learning-based predictive injection control with Bayesian hyperparameter optimization for a hydrogen/diesel dual-fuel engine2025 Control Engineering Practice article Engineering Advanced Control Systems Optimization Open access cited by 1 patent
Hossein Mehnatkesh, Alexander Winkler, Edward Sperling, Javad Kheyrollahi, Mahdi Shahbakhti, David C. Gordon, +1 more
16citations -
Machine learning-driven discovery of high-performance MEMS disk resonator gyroscope structural topologies2024 Microsystems & Nanoengineering article Engineering Advanced MEMS and NEMS Technologies Open access
Chen Chen, Jinqiu Zhou, Hongyi Wang, Xinyue Song, Jianbing Xie, Thomas Bäck, +1 more
23citations -
Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows2022 Proceedings of the Combustion Institute article Engineering Combustion and flame dynamics Open access
Ludovico Nista, Christoph Schumann, Temistocle Grenga, Antonio Attili, Heinz G. Pitsch
40citations -
A framework for the robust optimization under uncertainty in additive manufacturing2023 Journal of Manufacturing Processes article Engineering Additive Manufacturing Materials and Processes
Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken
15citations
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