Designing the Next Generation of Lithium-Ion Batteries Using a Computational Toolbox

“In the short term, we hope to build a safer battery that is more energy dense and has a lower price point, reducing the overall cost of electric vehicles and grid storage.” Spark Incubator Company, Eonix- Don DeRosa CEO

Lithium-ion batteries impact every facet of our daily lives. They influence the weight, size and functionality of all consumer electronic devices. As more electric vehicles hit the road, battery charging capabilities will dictate road trip routes and daily commutes. Even society’s ability to adopt renewable energy like solar and wind hinges on the storage capacity and cost of batteries within the power grid managing intermittent generation. To meet the ambitious technology and sustainability demands of the future, we need batteries that are less expensive, smaller, and safer. To build better batteries, we must discover better materials. The challenge is that traditional materials research is labor intensive, requires millions in funding, and takes years of effort only to result in the discovery of compounds that are unscalable. Under these constraints, scientists have only been able to explore a tiny fraction of molecular possibilities, which have led to incremental advances. The development of an economically viable, next generation battery capable of catalyzing the near-term adoption of clean technologies is only possible with a reinvention of this glacial materials discovery approach.

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