Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Aug-2025 20:11 ET (26-Aug-2025 00:11 GMT/UTC)
MIT researchers developed a fully autonomous platform that can identify, mix, and characterize novel polymer blends until it finds the optimal blend. This system could streamline the design of new composite materials for sustainable biocatalysis, better batteries, cheaper solar panels, and safer drug-delivery materials.
A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation microelectronic devices, or discover materials that boost the performance of quantum computers.
Heavy-ion collisions involve the collision of positively charged nuclei of heavy elements at nearly the speed of light. These collisions create a special state of matter called the quark-gluon plasma (QGP), accompanied by intense magnetic fields, resembling the early universe. However, the evolution of these magnetic fields over time has been hard to track. In this study, researchers review the recent experimental efforts to study the time-dependent evolution of magnetic fields generated in these collisions.