Mapping the Battery Data Genome for Better Batteries

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Mapping the Battery Data Genome for Better Batteries
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Energy storage is the key to electrified transportation and the rapidly evolving power grid, cornerstones of a decarbonized future.

There are many ways to map the world, from geographic illustrations to the genetic makeup of the organisms around us. As an avid outdoorsman, hiker, and mountain biker, it is natural that National Renewable Energy Laboratory Scientistwould also apply these concepts to his research. Smith leads NREL’s battery computational modeling for electrochemical energy storage, where he designs maps and models to improve our understanding of batteries.

“I was originally interested in building machines, like helicopters,” Smith said. “But the subjects of thermodynamics and heat transfer sparked my interest in energy and, later, electrochemistry. Instead of building engines, I began building computer models to design better batteries for a sustainable future.”

Smith leads a team of researchers at NREL focused on interpreting battery diagnostic experiments, such as X-ray/CT, using models to help advance battery materials and design. Photo by Werner Slocum, NRELis the key to electrified transportation and the rapidly evolving power grid, cornerstones of a decarbonized future. An open exchange of battery data is integral to meeting energy goals.

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