Research Highlights

In a study published in ACS Nano, researchers used ultrafast PINEM electron microscopy to visualize and time-resolve surface plasmon polaritons in gold nanohole lattices, revealing orientations and design rules for metasurfaces and nanophotonic devices.

In a study published in ACS Nanoscience Au, researchers showed how solvent choice in HEA nanoparticle synthesis impacts elemental distribution, with PEG 200 producing uniform nanoparticles and enhancing catalytic performance.

In a study published in Nanoscale, researchers used masked carbon-ion implantation to deterministically create bright, stable, room-temp single-photon emitters in hBN, enabling lithography-ready, reproducible monochromatic sources for quantum photonics.

In a study published in Solar Energy Materials and Solar Cells, researchers used advanced computational methods to show how selenium alloying improves CdTe solar cells by stabilizing dopants, reducing defect formation and enhancing electronic properties.

In a study published in Nature Communications, researchers demonstrated time-domain coherent control of remote magnon interference using single-shot measurements.

In a study published in Chemical Science, scientists introduced chiral population analysis to visualize and interpret molecular chirality at the atomic level for insights into designing enantioselective processes and X-ray circular dichroism experiments.

In a study published in Communications Materials, researchers revealed how photoexcited carriers dynamically control X-ray core-exciton resonances in semiconductors, providing a pathway for manipulating material properties on ultrafast timescales.

In a study published in Inorganic Chemistry, researchers unveil a Ru@MOF-808 catalyst that captures and photochemically converts CO2 into valuable chemicals, highlighting a new approach for efficient, selective CO2 reduction using visible light.

In a study published in the Journal of Physical Chemistry A, scientists demonstrated that multiconfiguration pair-density functional theory enables fast, accurate prediction of Auger electron spectra in organics.

New method uses automated continual learning and smart data generation.