Argonne National Laboratory

Featured Research Highlights

Decision trees plus AI equal discovery of boron metastable phases

In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.

2D ionic liquid behavior of charged rare-earth clusters on a metal surface

In an Advanced Science paper, researchers used scanning tunneling microscopy to investigate the structural and electronic properties of 2D rare-earth clusters on a one-cluster-at-a-time basis.

Unexpected electronic properties revealed in the dichalcogenide, tantalum disulfide (1T-TaSâ‚‚)

In a Physical Review B paper, researchers address ongoing debate surrounding the electronic properties of tantalum disulfide by employing resonant inelastic X-ray spectroscopy combined with first-principles calculations.

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