Lennard-Jones (LJ) clusters

Lennard-Jones (LJ) clusters are a dataset used to evaluate the clustering of potential energy landscapes of molecular structures through adaptive network embedding techniques.

Papers using Lennard-Jones (LJ) clusters (3)

Improving structure search with hyperspatial optimization and TETRIS seeding2025Annealing for prediction of grand canonical crystal structures: Efficient implementation of n-body atomic interactions2023Clustering Molecular Energy Landscapes by Adaptive Network Embedding2024