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  1. Hybrid physics: data framework for real-time forecasting of atmospheric pollutants

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  2. A new framework for generative design, real-time prediction, and inverse design optimization: application to microstructure

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  3. A tail-adjusted reliability index for non-Gaussian structural systems

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  4. Truss structure optimization via hierarchical tree search

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  5. A methodology for the automated estimation of footprint-derived seismic behaviour modifiers in building exposure assessment

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

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

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  8. PDE-constrained Gaussian process surrogate modeling with uncertain data locations

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

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  10. Magneto-thermally coupled field simulation of homogenized foil winding models

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

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

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

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

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

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