From the 1 of 4 linked papers with an AI index.
5 papers
Kinetic Optimization of Magnetic Mirror Confinement: Beyond Classical Loss-Cone Theory
Lukas Einkemmer, Martin Guerra, Qin Li +1
The paper formulates magnetic mirror design as a PDE‑constrained optimization problem using a reduced multispecies drift‑kinetic‑Poisson model and shows that self‑consistent electr…
What metric to optimize for suppressing instability in a Vlasov-Poisson system?
Martin Guerra, Qin Li, Yukun Yue +1
Stabilizing plasma dynamics is a central challenge in magnetic confinement fusion. A common approach is to introduce external electric fields to suppress instabilities in the plasm…
Optimal design for linear models via gradient flow
Ruhui Jin, Martin Guerra, Qin Li +1
Optimal experimental design (OED) aims to choose the observations in an experiment to be as informative as possible, according to certain statistical criteria. In the linear case (…
Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models
Borong Zhang, MartÃn Guerra, Qin Li +1
We present Wideband Back-Projection Diffusion, an end-to-end probabilistic framework for approximating the posterior distribution induced by the inverse scattering map from wideban…
Swarm-based gradient descent meets simulated annealing
Zhiyan Ding, Martin Guerra, Qin Li +1
We introduce a novel method for non-convex optimization, called Swarm-based Simulated Annealing (SSA), which is at the interface between the swarm-based gradient-descent (SBGD) [J.…