Pedro Viegas

Physics consistent conditional flow matching model as a plasma physics surrogate model

Physics-informed surrogate modeling for steady-state systems often struggles with data scarcity and optimization instabilities from soft penalty losses. Unlike prevailing physics-informed generative methods that rely on explicit, differentiable PDE residuals during training, our framework targets systems where closed-f...