A Carnegie Mellon team used an automated system and machine-learning software to develop fast-charging electrolytes that outperformed a standard one. Around the start of the year, Carnegie Mellon ...
A team of researchers at the Technical University of Munich and ́Ecole Polytechnique Fédérale de Lausanne has developed an innovative computational approach combining machine learning and Raman ...
Researchers at Argonne National Laboratory have proposed a novel method for developing electrolytes suitable for nearly any electrochemical process. This approach could significantly enhance the ...
LEMONT, Ill.--(BUSINESS WIRE)--Batteries, like humans, require medicine to function at their best. In battery technology, this medicine comes in the form of electrolyte additives, which enhance ...
Researchers have explored the performance of lithium-ion batteries (LIBs) in extreme cold. They reviewed ...
Machine learning models trained on molecular quadrupole moments predict electrostatic potentials rapidly, enabling faster ...