11 - 20 of 27 Results
The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.
Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.
Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.
ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.
Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.
Atmospheric carbon dioxide is captured with an aqueous solution containing a guanidine photobase and a small peptide, using a UV-light stimulus, and subsequently released when the light stimulus is removed.
We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software
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.