1 - 10 of 19 Results
ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.
Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp
We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.
The invention describes a configuration of dishwasher using thermoelectric heat pumps that can accomplish energy savings and enhanced drying performance.
This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&
Develop an innovative refrigerator having a thermoelectric cooler cascaded with a regular refrigerator compression system. the TE cooler dedicatedly controls the temperature in a freezer compartment.
The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.
Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.
Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.
A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.