Predicting rolling shear failure of cross-laminated panels using a multiscale domain decomposition approach

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Comparison of multi-fidelity surrogate models for multi-objective aerodynamic optimization in turbomachinery under extreme cost imbalance

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Experiment–simulation synergy on multiscale breakup dynamics in wire arc spray atomization

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PDE-constrained Gaussian process surrogate modeling with uncertain data locations

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A strategy with reduced models dedicated to parametrized nonlinear strongly coupled thermo-poroelasticity problems

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Magneto-thermally coupled field simulation of homogenized foil winding models

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Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods

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Projection-based reduced order model and hyper-reduction of linear sloshing with geometric parameters using isogeometric analysis

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First order explicit time integration scheme with large time steps for parabolic problems using irregular grids

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Meshgraphnets informed locally by thermodynamics for the simulation of flows around arbitrarily shaped objects

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Quadratic unconstrained binary optimization for environmental control system equipment design and assessment

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Theoretical investigations and methodology for modeling and direct simulation of electrochemical pulse plating in the diffusion boundary layer

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Graph neural network structural limitation for thermal simulation and architecture optimization through rating system

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Implicit numerical technique for solving fractional Navier-Stoks equation with non-singular kernel

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Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder

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The role of auto-catalysis reaction and thermal radiation on dynamics of CNTs nanoparticles in a rotating system

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Advancing deformation calculation: a physics-informed deep graph learning framework for hyperelastic materials

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Using DIC-based FEM to determine work-hardening parameters in structural steels

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