DETC2020-22369 Applications of Polynomial Chaos-Based Cokriging to Simulation-Based Analysis and Design Under Uncertainty

von Nagawkar, Jethro
Veröffentlicht in ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (2020 : Online) Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference - 2020 ; Volume 11, B (2020)

DETC2021-70502 Gradient-Enhanced Multifidelity Neural Networks for High-Dimensional Function Approximation

von Nagawkar, Jethro
Veröffentlicht in Design Automation Conference (47. : 2021 : Online) Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC-CIE2021) ; Volume 3, B (2021)

APPLICATIONS OF POLYNOMIAL CHAOS-BASED COKRIGING TO AERODYNAMIC DESIGN OPTIMIZATION BENCHMARK PROBLEMS

von Nagawkar, Jethro
Veröffentlicht in AIAA SciTech Forum and Exposition (2020 : Orlando, Fla.) Applied aerodynamics ; Volume 1 of 4 (2020)

Aerodynamic Shape Optimization Using Gradient-Enhanced Multifidelity Neural Networks

von Nagawkar, Jethro R.
Veröffentlicht in AIAA SciTech Forum and Exposition (2022 : San Diego, Calif.; Online) Multidisciplinary design optimization ; Volume 2 of 2 (2022)

Model-Based Sensitivity Analysis of Nondestructive Testing Systems Using Machine Learning Algorithms

von Nagawkar, Jethro
Veröffentlicht in Computational science - ICCS 2020 ; Part V (2020)

MULTIFIDELITY AERODYNAMIC FLOW FIELD PREDICTION USING RANDOM FORESTS

von Nagawkar, Jethro R.
Veröffentlicht in AIAA Aviation Forum (2021 : Online) Multidisciplinary design optimization ; Volume 1 of 2 (2021)

MULTIFIDELITY AERODYNAMIC FLOW FIELD PREDICTION USING CONDITIONAL ADVERSARIAL NETWORKS

von Brittain, Marc W.
Veröffentlicht in AIAA Aviation Forum (2021 : Online) Multidisciplinary design optimization ; Volume 1 of 2 (2021)

Iterative Global Sensitivity Analysis Algorithm with Neural Network Surrogate Modeling

von Liu, Yen-Chen
Veröffentlicht in ICCS (21. : 2021 : Online) Computational science - ICCS 2021 ; Part 4 (2021)

DEVELOPMENT OF AN OPEN-SOURCE FLUTTER PREDICTION FRAMEWORK FOR THE COMMON RESEARCH MODEL WING

von Crow, Brandon T.
Veröffentlicht in AIAA SciTech Forum and Exposition (2021 : Online) Multidisciplinary design optimization ; Volume 2 of 2 (2021)

Global Surrogate Modeling by Neural Network-Based Model Uncertainty

von Leifsson, Leifur
Veröffentlicht in ICCS (22. : 2022 : London) Computational science - ICCS 2022 ; Part 3 (2022)