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An algorithm developed and field-tested by ORNL researchers uses machine learning to maintain homeowners’ preferred temperatures year-round while minimizing energy costs. Credit: ORNL, U.S. Dept. of Energy

Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.

Oak Ridge National Laboratory's Additive Manufacturing Integrated Energy  (AMIE) demonstration connects a 3D-printed building and vehicle to showcase a new approach to energy use, storage and consumption. Photo by Carlos Jones

A research demonstration unveiled today at the Department of Energy’s Oak Ridge National Laboratory combines clean energy technologies into a 3D-printed building and vehicle to showcase a new approach to energy use, storage and consumption. The Additive Manufactur...

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The Department of Energy’s Oak Ridge National Laboratory and Whirlpool Corporation are collaborating to design a refrigerator that could cut energy use by up to 40 percent compared with current models

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Scientists at the US Department of Energy’s Oak Ridge National Laboratory are learning how the properties of water molecules on the surface of metal oxides can be used to better control these minerals and use them to make products such as more efficient semiconductors for organic light emitting diodes and solar cells, safer vehicle glass in fog and frost, and more environmentally friendly chemical sensors for industrial applications.