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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.
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.
A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.
This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.
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.
High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.
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.
Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.