11 - 20 of 22 Results
A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.
The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.
Demand for lithium is expected to increase drastically due to the use of rechargeable lithium-ion batteries used in portable electronics and electric vehicles. An efficient method to extract lithium is necessary to help meet this demand.
Technetium is a radioactive isotope that is a byproduct of nuclear processing; there are currently limited mechanisms to capture technetium when uranium is recycled, hindering the efficient recycling of spent nuclear fuel.
Targeted radionuclide therapy (TRT) has emerged as a promising method for cancer treatment, leveraging Meitner-Auger Electron (MAE)-emitting radionuclides.
Direct air capture (DAC) technologies that extract carbon dioxide directly from the atmosphere are critical for mitigating effects of climate change.
Selenate and selenite oxyanions are crystallized together with sulfate anions using ligands. In this approach, we will take advantage of the tendency of these similar oxyanions to co-precipitate into crystalline solid solutions.
A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.
In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.