Empty-space search with a Lennard-Jones potential, guided by a human-in-the-loop visual interface and a trained neural network, finds configurations that outperform random sampling in several optimization tasks.
Design and Implementation of a Practical Parallel Delaunay Algorithm
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Into the Void: Mapping the Unseen Gaps in High Dimensional Data
Empty-space search with a Lennard-Jones potential, guided by a human-in-the-loop visual interface and a trained neural network, finds configurations that outperform random sampling in several optimization tasks.