Global Organization
Artificial intelligence (AI) and large-scale cloud computing is speeding up the search for new battery materials. An AI-enhanced collaboration between Microsoft and the Pacific Northwest National Laboratory (PNNL) has already produced one promising new material, which the two are sharing publicly today.
A materials scientist at Pacific Northwest National Laboratory assembles a prototype battery using the newfound material. (Dan DeLong for Microsoft)
It has been corrected to say that the material can reduce the amount of lithium by as much as 70 percent. We regret the error. Microsoft and the Pacific Northwest National Laboratory used AI and high-performance computing to discover a promising new battery material faster than ever before.
The researchers queried AQE for battery materials that use less lithium, and it quickly suggested 32 million different candidates. From there, the AI system had to discern which of those materials would be stable enough to use — which wound up being around 500,000.
A new material could transform batteries, the researchers who found it say. It could lead to batteries based on new technology that could improve both their energy capacity and their safety, scientist say. That in turn could have dramatic consequences for the vehicles and other electronic devices that rely on batteriesfr power.
Here’s how it works. An artificial intelligence (AI) program has identified a material not found in nature that could reduce the amount of lithium used in batteries by up to 70%. The new material, a blend of sodium, lithium, yttrium, and chloride ions, is a type of mixed metal chloride and was found to be the best option from 32 million candidates.
They studied the use of clustering, regression, and classification methods in discovering the new materials. By reviewing the applications of AI in battery materials, they …
Microsoft CEO Satya Nadella posted an article about the new battery material on X, to which Tesla CEO Elon Musk responded by saying, "Interesting." After all, Tesla …
The discovery of a promising new battery material by researchers at Microsoft and PNNL demonstrates the power of combining artificial intelligence (AI) with high …
The researchers targeted a coveted type of battery material: a solid electrolyte. An electrolyte is a material that transfers ions — electrically charged atoms — back and forth …
The discovery of a promising new battery material by researchers at Microsoft and PNNL demonstrates the power of combining artificial intelligence (AI) with high-performance computing ...
Microsoft and the Pacific Northwest National Laboratory used AI and high-performance computing to discover a promising new battery material faster than ever before.
The company used AI systems to screen more than 32 million battery candidates. From that, they were able to make a new material that could transform how batteries work.
A new material could transform batteries, the researchers who found it say. It could lead to batteries based on new technology that could improve both their energy capacity …
Data-driven machine learning (ML) and deep learning (DL) techniques, together with high-throughput experimental and computational approaches, have recently emerged as important …
Microsoft researchers used AI and supercomputers to narrow down 32 million potential …
Using Microsoft''s Azure Quantum Elements tool, researchers screened potential new materials that can be used in low-lithium batteries. …
A new material could transform batteries, the researchers who found it say. ... problems that have come to be associated with some battery technologies. ... the design and …
Scientists say the material could potentially reduce lithium use by up to 70%. Since its discovery the new material has been used to power a lightbulb.
The researchers targeted a coveted type of battery material: a solid …
Using Microsoft''s Azure Quantum Elements tool, researchers screened potential new materials that can be used in low-lithium batteries. The scientists published their findings …
The company used AI systems to screen more than 32 million battery candidates. From that, they were able to make a new material that could transform how batteries work.
New tools enable new ways of working, and materials science is no exception. In materials discovery, traditional manual, serial, and human-intensive work is being …
For battery material discovery, the crystal structures of inorganic and organic compounds are the most widely used datasets for screening and feature extractions. ... New battery materials …
The search for advanced electrode materials in K-ion batteries (KIBs) is a significant challenge due to the lack of an efficient throughput screening method in modern battery technology. Layered oxide cathode …
A new cathode material discovered by researchers at Georgia Tech in the US costs 1-2 per cent of traditional materials with similar capacity (iStock/ Getty Images) Your …
Using AI and cloud computing, Microsoft was able to quickly identify 18 promising battery materials for the Department of Energy. It needed just 80 hours to do …
Microsoft and the Pacific Northwest National Laboratory used AI and high-performance computing to discover a promising new battery material faster than ever before.
A new material could transform batteries, the researchers who found it say. It …
Microsoft researchers used AI and supercomputers to narrow down 32 million potential inorganic materials to 18 promising candidates in less than a week - a screening process that could …
Microsoft announced Tuesday that a team of scientists used artificial intelligence and high-performance computing to plow through 32.6 million possible battery materials ― many not found in ...
In a collaboration between Microsoft and the Pacific Northwest National Laboratory, scientists are testing a new battery material that was detected by an AI breakthrough. Microsoft and the Pacific Northwest National …
Using AI and cloud computing, Microsoft was able to quickly identify 18 promising battery materials for the Department of Energy. It needed just 80 hours to do something that would normally take years.
Looking ahead: PNNL scientists have already synthesized one of the candidate battery materials for testing — if it performs well, it could enable production of batteries …
Microsoft announced Tuesday that a team of scientists used artificial intelligence and high-performance computing to plow through 32.6 million possible battery materials ― …