... approaches based solely on experimental investigations and/or physics-based simulations. Machine learning (ML) methods are a broad class of approaches that can be trained to discover complex patterns in large sets of data. ML models have been used in many fields to describe phenomena that are otherwise...

... such as stability, accuracy, and computational cost. artificial intelligence machine learning for engineering applications physics-based simulations 17 07 2023 26 10 2023 31 10 2023 22 07 2024 1 Corresponding author. Email: na7fp@virginia.edu Email: mnabian@nvidia.com...

... artificial intelligence machine learning for engineering applications multiphysics modeling and simulation physics-based simulations Decision support for optimal operation and maintenance (O&M) of bearing systems in rotational machinery is the key to optimal operation of such systems around...

... Computational Metrology Multiscale Modeling and Simulation Physics-Based Simulations Journal of Computing and Information Science in Engineering. Received August 19, 2023; Accepted manuscript posted May 17, 2024. doi:10.1115/1.4065606 Copyright © 2024 bJyouArSnMal Eof Computing and Information Science...

... probabilistic learning uncertainty quantification nonlinear stochastic dynamics surrogate model partial information statistical inverse problem nozzle machine learning for engineering applications data-driven engineering inverse methods for engineering applications physics-based simulations...

...: joel.quarnstrom@okstate.edu Email: yujiang.xiang@okstate.edu 04 08 2023 13 03 2024 13 03 2024 22 04 2024 Graphical Abstract Figure computer-aided design physics-based simulations actuators bio-inspired robotics The development of bio-inspired methods...

... artificial intelligence computer aided engineering machine learning for engineering applications physics-based simulations It is widely considered that vortex dynamics play an essential role in determining the behavior of fluid flows in practical applications, for instance, identifying...

... neural networks solid mechanics fluid mechanics machine learning deep learning scientific computing artificial intelligence data-driven engineering machine learning for engineering applications multiphysics modeling and simulation physics-based simulations American Chemical Society...

... metacomputing advanced computing infrastructure computational synthesis engineering informatics model-based systems engineering multiphysics modeling and simulation physics-based simulations symbolic computing for engineering applications In the discipline of computational multiphysics...

.... computer vision vortex detection line integral convolution computational fluid dynamics turbulent flows machine learning for engineering applications physics-based simulations 06 07 2022 05 01 2023 05 01 2023 29 03 2023 Contributed by the Computers and Information...

... projection data-driven engineering inverse methods for engineering applications physics-based simulations The multibody dynamics model is constructed by SIMPACK environment, which is made up of two wheelsets, four axel boxes, one bogie frame, and a railway track. The normal force, creepage...

... interfaces/interactions physics-based simulations National Science Foundation 10.13039/100000001 CBET 1703093 The cervical spine protects the spinal cord and nerve roots and provides structural support and flexibility of movement for the head and neck complex. Injuries to the cervical...

... 2022 21 12 2022 advanced computing infrastructure model-based systems engineering multiphysics modeling and simulation physics-based simulations Adhesive step-lap joints (ASLJs) are found in many prototyping and manufacturing applications. However, the aircraft manufacturing...

... 04 2022 01 09 2022 02 09 2022 27 09 2022 data-driven engineering inverse methods for engineering applications machine learning for engineering applications physics-based simulations qualification, verification and validation of computational models Once...

... applications model-based systems engineering multi-physics modeling and simulation physics-based simulations 31 03 2022 14 08 2022 18 08 2022 15 09 2022 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I...

... cience in E ngineering . 29 01 2022 11 05 2022 11 05 2022 18 07 2022 artificial intelligence data-driven engineering inverse methods for engineering applications physics-based simulations National Science Foundation 10.13039/100000001 CMMI-1454601...

.../100000147 1306996 multi-physics modeling and simulation multiscale modeling and simulation physics-based simulations 25 09 2021 18 03 2022 21 03 2022 10 05 2022 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C...

... machine learning for engineering applications manufacturing automation physics-based simulations process modeling for engineering applications Near-net-shaped manufacturing techniques such as casting, forging, friction welding, additive manufacturing, and other similar processes are commonly...

... in the J ournal of C omputing and I nformation S cience in E ngineering . 22 08 2021 06 01 2022 07 01 2022 04 03 2022 computer aided design physics-based simulations China Scholarship Council 10.13039/501100004543 201806890022 Wireless power...

... FA8750-20-C-0002 machine learning for engineering applications physics-based simulations 11 05 2021 18 01 2022 20 01 2022 21 02 2022 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S...