Y Combinator-backed Holy Grail is using machine learning to build better batteries
For a long, long time, renewable energy proponents have considered advancements in battery technology to be the Holy Grail of the industry.
Advancements in energy storage has been among the hardest to achieve economically, thanks to the incredibly tricky chemistry that’s involved in storing power.
Now, one company that’s launching from Y Combinator believes it has found the key to making batteries better. The company is called Holy Grail and it’s launching in the accelerator’s latest cohort.
With an executive team that initially included Nuno Pereira, David Pervan and Martin Hansen, Holy Grail is trying to bring the techniques of the fabless semiconductor industry to the world of batteries.
The company’s founders believe that the only way to improve battery functionality is to take a systems approach to understanding how different anodes and cathodes will work together. It sounds simple, but Pereira says the computational power hadn’t existed to take into account all of the variables that go along with introducing a new chemical to the battery mix.
“You can’t fix a battery with just a component,” Pereira says. “All of the batteries that were created and failed in the past. They create an anode, but they don’t have a
This post was originally published on this site