In the swirling vortex of the AI arms race, a peculiar development has emerged. Amidst the frantic scramble to develop ever more sophisticated models, a common refrain echoes from the titans of tech: they want to go nuclear. Yes, the very same Meta, Amazon, Microsoft, and Google that dominate our digital lives are now making bold moves into the realm of nuclear energy.

Adverse climate change, the undeniable reality of global warming, and the pressing need for energy security have converged to present humanity with some of its most formidable challenges. At the heart of these challenges lies the need for sustainable energy solutions, and central to these solutions is the development of high-performance battery technologies. These technologies, essential for electric vehicles, renewable energy storage, and countless other applications, hinge on the intricate chemistry of their components, with electrolytes playing a particularly critical role. Traditionally, electrolyte discovery has been a slow, iterative, and often frustrating process, reliant on trial and error. However, the burgeoning field of artificial intelligence (AI) offers a potential paradigm shift, promising to accelerate the design of novel electrolytes and usher in a new era of battery innovation.