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Differentiable Surrogate for Detector Simulation and Design with Diffusion Models [PDF]
X. Nguyen +9 more
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A robust strategy for FE model updating of composite panels using a combined ANN-SMA surrogate-assisted optimization framework. [PDF]
Sci RepKouhi M +2 more
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A surrogate-based inverse design framework for targeted diameter control of electrospun nanofibers. [PDF]
Sci RepMahdian M, Ender F, Pardy T.
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Data-Driven Differential Evolution in Tire Industry Extrusion: Leveraging Surrogate Models
Eider Garate-Perez +3 more
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Adaptive Bayesian learning for stability characterization of re-entry vehicles. [PDF]
Sci RepTiwari B +5 more
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A review of the artificial neural network surrogate modeling in aerodynamic design
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2019Artificial neural network surrogate modeling with its economic computational consumption and accurate generalization capabilities offers a feasible approach to aerodynamic design in the field of rapid investigation of design space and optimal solution ...
Gang Sun, Shuyue Wang
exaly +2 more sources
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics
Computer Methods in Applied Mechanics and Engineering, 2021We present the application of a class of deep learning, known as Physics Informed Neural Networks (PINN), to inversion and surrogate modeling in solid mechanics. We explain how to incorporate the momentum balance and constitutive relations into PINN, and
E. Haghighat +4 more
semanticscholar +1 more source