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
Numerical analysis of the convergence behavior of adjoint-optimized neural PDEs
GPU-Accelerated Finite Element Structural Analysis and Optimization
Computational Aerosciences and Optimization : Theory & Applications
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.
Physics-informed ML and adjoint co-design of a monolithic e-mode GaN-on-SOI fractional-N PLL with HEMT varactors for extreme-temperature timing (218-423 K): PINN surrogate, differentiable JAX loop, discrete-adjoint optimization, GCN-SAC RL, WGAN yield, and open-source EDA transistor-level closure.
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