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Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.
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
ORNL's fully on-chip CMOS-fabricated integrated photonic circuit can generate polarization or frequency entangled photons for use in quantum communications and networking.
A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.
This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.
Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.
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.
Photonic hyperentanglement involves pairs of photons entangled in multiple degrees of freedom (DoF), which hold promise for quantum communication protocols. However, the frequency DoF has received less attention due to constraints in evaluating such hyperentangled states.
Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.
This disclosure presents a framework to identify critical conditions that an autonomous driving system will encounter on its mission.