Paper introduces uncertainty-guided surrogate for microfluidic droplet generator inverse design
Neural ensemble surrogates with targeted enrichment and PSO achieve nearly doubled accuracy for optimizing microdroplet devices.
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Neural ensemble surrogates with targeted enrichment and PSO achieve nearly doubled accuracy for optimizing microdroplet devices.
Bi-FORK learns one-to-many bifurcation maps with latent flow matching and repulsion-guided sampling.
ICF-DLM, the first language-model-based inertial confinement fusion predictor, cuts peak-timing error from 11.6 to 9.2 steps versus LLaMA-3-8B.
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