31 - 40 of 49 Results
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.
This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.
Through new chemistry, materials, and processes, ORNL researchers are developing a highly compact and energy efficient carbon capture technology, which can enable wide-spread implementation in a cost effective manner.
Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.
This solid-state thermal switch can significantly increase the functions of the thermal mass in buildings by actively controlling the thermal resistivity of insulation layers to optimize the energy storage and utilization to shed, shift, and shape HVAC loads on demand.