Will machine learning algorithms revolutionize scientific research on battery materials?
Forward-looking:Modern lithium-ion rechargeable batteries rely on lithium and other rare earth metals.
The selection process began with 32.6 millioncandidate materialsand AI algorithms identifying 500,000 predicted stable materials.
After screening for functional properties, the pool was further narrowed down to 800 potential candidates.
Brian Abrahamson, chief digital officer at PNNL, said developing novel batteries is acrucial global challenge.
Abrahamson stated that synthesizing and testing materials at a human scale is a labor-intensive and fundamentally limiting process.
According to the Redmond corporation, AI will revolutionize every industry, unlocking a new era of scientific discovery.
