2D-carbide MXenes with multiple transition metals In a study published in ACS Nano, researchers synthesized a new material with tunable properties.
AI guided de novo molecular design targeting COVID-19 In a study published in ACS Omega, researchers used artificial intelligence to discover drug candidates that target COVID-19.
Plasmonic coupling imaged with ultrafast electron microscopy In a study published in Nano Letters, researchers used ultrafast electron microscopy to probe material dynamics at the nanoscale.
Coherent gate operations in hybrid magnonics In a study published in Physical Review Letters, scientists demonstrated a new way to tune hybrid magnonic dynamics.
Microfluidic neurotransmitter-sensing probes In a study published in Sensors and Actuators B: Chemical, researchers developed a device that can sense neurotransmitters in the brain.
Nanoscale X-ray imaging with physics-aware deep learning In a study published in Applied Physics Reviews, researchers developed a model to predict material properties from X-ray scattering data.
A pathway to neuromorphic computing and nonvolatile memory applications In a study published in ACS Nano, researchers show the potential of ultraporous materials in neuromorphic computing.
Estimating cloud coverage with deep learning methods: Key to solar power production In a study published in a special issue of the journal Atmosphere, a team of researchers from Argonne National Laboratory presented a novel ground-based approach using machine learning for estimating cloud cover.
High-entropy alloy nanoparticles show unique reduction behaviors In a study published in Nano Letters, researchers uncover reduction behavior of oxidized high-entropy alloy nanoparticles in hydrogen.
Borophane: hydrogenation of atomic-thick layers of boron In a study published in Science, researchers demonstrate that the 2D material borophane is much more stable than borophene.
