In a paper published in Nature Communications, researchers synthesized a novel rock-salt electrode material by the unconventional approach of crystallization of amorphous nano-channeled Nb2O5 during initial cell cycling.
In a report published in ACS Energy Letters, researchers determined the root causes behind the optoelectronic degradation for a lead halide perovskite.
In a paper appearing in Nature Communications, researchers report a machine learning-based approach for producing phase diagrams, which are applicable to metastable materials that are far from equilibrium.
In a report published in Small, researchers introduce “ingrained”, an automated framework for the fusion of atomic-resolution materials imaging simulations into the experimental images to which they correspond.
In a report published in PNAS, researchers report on a newly developed laser-pumped X-ray nanodiffraction imaging capability with 25 nm and 100 ps resolutions.
For a study published in Patterns, researchers developed a predictive framework for zinc blende semiconductors and impurity atoms from across the periodic table.
In a study published in Nature Communications, researchers report a reinforcement learning-based algorithm for developing molecular models that predict potential energy surfaces of elemental nanoclusters and bulk systems.
For a study published in Science, researchers developed and tested a perovskite nickelate with which computer chips can be designed to reconfigure their circuits when presented with new information.
In a paper published in Nanoscale, researchers report characterizing hot electrons (above the bandgap) by ultrafast optical spectroscopy of optically excited colloidal quantum wells.
