Papers matching “deep learning surrogate model” 29
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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 -
Complementing Drawability Assessment of Deep-Drawn Components With Surrogate-Based Global Sensitivity Analysis2024 ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering article Decision Sciences Probabilistic and Robust Engineering Design
Tobias Lehrer, Arne Kaps, Ingolf Lepenies, Elena Raponi, Marcus M. Wagner, Fabian M. E. Duddeck
5citations -
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 -
Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes2023 Journal of Neural Engineering article Neuroscience Neuroscience and Neural Engineering Open access
Simone Romeni, Elena Losanno, Elisabeth Koert, Luca Pierantoni, Ignacio Delgado, Xavier Navarro, +1 more
15citations -
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 -
Data-driven adaptive approach integrating genetic algorithm and conditional generative adversarial network for minimizing earing formation in industrially rolled aluminium strips2026 Transactions of the Indian Institute of Metals article Materials Science Machine Learning in Materials Science Open access
Nilesh Thakare, Kai Karhausen, Holger Brüggemann, Emad Scharifi, Junhe Lian
0citations -
High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling2026 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Basita Das, William Heymann, Yueming Wang, Uwe Rau, Thomas Kirchartz, Tonio Buonassisi
0citations