A study was conducted to characterize the effect of density and elemental additions of graphite, copper and nickel on static and dynamic properties of low alloy P/M steels prealloyed with 0.85% ...
As opposed to conventional metal alloys, metal matrix composites (MMCs) possess inimitable physical, thermal, electrical, chemical, and mechanical properties that make them most suitable in today’s ...
Researchers developed a single-step AACVD method for nitrogen-doped carbon nanotubes on copper, optimizing synthesis for ...
Hosted on MSN
Model uses machine learning to predict cycle lives of high-energy-density lithium-metal batteries
The National Institute for Materials Science (NIMS) and SoftBank Corp. have jointly developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying ...
BOSTON & FREMONT, Calif.--(BUSINESS WIRE)--Desktop Metal (NYSE: DM), a leader in mass production additive manufacturing (AM) solutions, and Uniformity Labs, a leading AM company revolutionizing ...
Scientists have developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data. The model ...
For electric planes to really take off and for electric cars to travel far longer distances between charges, we'll need batteries that pack far more energy without becoming prohibitively heavy. A team ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback