Tutorial code with FEniCS-hIPPYlib framework for adjoint inversions
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Updated
Jan 24, 2025 - Jupyter Notebook
Tutorial code with FEniCS-hIPPYlib framework for adjoint inversions
Lattice Optimization for Porous Electrodes
Adjoint-based geodetic inversions for elastic properties and fault slip
GPU-Accelerated Finite Element Structural Analysis and Optimization
Numerical analysis of the convergence behavior of adjoint-optimized neural PDEs
A FEniCS-based framework for density-based topology optimization of turbulent fluid manifolds. It couples the Spalart-Allmaras turbulence model with continuous adjoint formulations to minimize energy dissipation in high-Reynolds flows.
Computational Aerosciences and Optimization : Theory & Applications
Learned generative process twins for yield-aware inverse design of multilayer optics: exact TMM with a hand-derived adjoint, pathwise CVaR robustification through twin and physics
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