Research Highlights
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.
Additional Research Highlights
Reinforcement learning algorithm captures previously inaccessible mesoscale phenomena
In a Journal of Chemical Physics paper, scientists present a reinforcement learning algorithm that effectively models mesoscale aggregation phenomena in liquid-liquid mixtures.
Spin-exchange carrier multiplication demonstrated in manganese-doped quantum dots
In a Nature Materials paper, scientists demonstrate a novel approach to spin-exchange carrier multiplication in manganese-doped core/shell PbSe/CdSe quantum dots.
Model developed to design polycrystalline materials with desired properties
In a Computational Materials Science article, scientists descrive a model combining phase-field modeling and machine learning, which was used to assess the importance of five parameters for grain coarsening of a polycrystalline material.
Nanomaterials and sustainability
In an ACS Energy Letters paper, the authors summarize feedback from invited speakers at the Nanomaterials and Sustainability Workshop that was held on May 4, 2023, as part of the annual Advanced Photon Source/Center for Nanoscale Materials Users Meeting.
Spin-mediated shear oscillators in a van der Waals antiferromagnet
In a Nature paper, scientists present results from ultrafast electron diffraction and microscopy analyses to investigate the dynamic behavior of a self-supporting antiferromagnetic film.