... ngineering . 19 06 2022 08 02 2023 08 02 2023 17 02 2023 Email: dragon_liu@csu.edu.cn Email: bingyi@csu.edu.cn Email: lidaping2005@outlook.com Data-Driven engineering Inverse Methods for Engineering Applications Inverse Methods for Engineering Applications...

... and I nformation S cience in E ngineering . 16 06 2022 30 08 2022 31 08 2022 12 12 2022 knowledge representation theoretical knowledge Bayesian inference item response theory engineering informatics inverse methods for engineering applications machine learning...

... nformation S cience in E ngineering . 23 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...

..., and Identifiability ,” ASME J. Mech. Des. , 134 ( 10 ), p. 100908 . 10.1115/1.4007390 information fusion Bayesian statistics model calibration uncertainty quantification Bayesian network artificial intelligence big data and analytics data-driven engineering inverse methods for engineering...

... aerodynamic simulations with large number of mesh points become very inefficient due to slow turnaround times [ 3 ]. inverse methods for engineering applications machine learning for engineering applications 09 02 2022 22 05 2022 23 05 2022 01 09 2022 Contributed...

... methods for engineering applications physics-based simulations National Science Foundation 10.13039/100000001 CMMI-1454601 Engineers rely heavily on mathematical models of real systems. In the design process, engineers seek the best models that describe the physical system they seek...

... detection nonlinear regression inverse problem Newton’s law of cooling Michaelis–Menten model Lineweaver–Burk plot big data and analytics computational foundations for engineering optimization data-driven engineering inverse methods for engineering applications machine learning for engineering...

... the observed response. IP is used in a variety of fields, including, but not limited to, forensic science [ 1 ], nuclear forensics [ 2 , 3 ], computer modeling [ 4 , 5 ], chemometrics [ 6 ], nutrition tracking [ 7 ], and geosciences [ 8 , 9 ]. artificial intelligence inverse methods for engineering...

... and effective solution for inverse heat transfer problems. We intend to sensitize researchers in inverse methods to this emerging approach and provide a preliminary analysis of its advantages and disadvantages. inverse methods for engineering applications machine learning for engineering applications...

... of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 30 07 2021 04 11 2021 05 11 2021 10 12 2021 additive manufacturing lattice structure data-driven engineering uncertainty quantification inverse methods for engineering...

... computational metrology inverse methods for engineering applications machine learning for engineering applications multiscale modeling and simulation physics-based simulations With only a few extraordinarily well-controlled exceptions, all materials contain defects [ 1 ]. Here, the term “defect...

... No. MSEC2019-2899. 10 09 2020 17 02 2021 17 02 2021 25 03 2021 process monitoring digital twin compressed sensing physics-based compressive sensing PDE constrained optimization computational foundations for additive manufacturing inverse methods for engineering applications...

... diffusion data-driven engineering engineering informatics inverse methods for engineering applications model-based systems engineering multidisciplinary optimization Fitting a specified model to data, also called curve fitting, is an inverse problem that has wide application in many science...

... to optimize the objective function at the highest level of fidelity, but at a reduced computational cost by leveraging lower-fidelity data. computational foundations for engineering optimization inverse methods for engineering applications inverse methods for engineering applications multi...