U-M 'Battery Lab 2.0' expansion open for innovation
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Updates every hour. Last Updated: 10-Nov-2025 17:11 ET (10-Nov-2025 22:11 GMT/UTC)
In a step designed to maintain U.S. research and development momentum in next-generation battery technology for electric vehicles and beyond, the University of Michigan has expanded its open-access U-M Battery Lab with a second off-campus facility.
In everyday life, all matter exists as either a gas, liquid, or solid. In quantum mechanics, however, it is possible for two distinct states to exist simultaneously. An ultracold quantum system, for instance, can exhibit the properties of both a fluid and a solid at the same time. The Synthetic Quantum Systems research group at Heidelberg University has now demonstrated this phenomenon using a new experimental approach, by feeding a small amount of energy into a superfluid.
A giant anomalous Hall effect (AHE) has been observed in a nonmagnetic material for the first time, as reported by researchers from Japan. This surprising result was achieved using high-quality Cd3As2 thin films, a Dirac semimetal, under an in-plane magnetic field. By modulating the material’s band structure, the team isolated the AHE and traced its origin to orbital magnetization rather than spin, challenging long-held assumptions in condensed matter physics.
Nanoparticle properties can be tuned by controlling their sizes, making them highly attractive in science and industry. However, the mechanisms and dynamics of their growth remain unclear. Researchers present a new equation and theory that quantitatively explains the size- and time-dependent nanoparticle growth, finally replacing the century-old Gibbs-Thomson equation and the classical nucleation theory. This theory serves as a powerful framework for predicting and controlling nanoparticle shape and size by advancing nanoparticle research.
MIT researchers designed molecules that can serve as the electrolyte in a lithium-ion battery and then quickly break apart at the end of the battery’s life, making it easier to recycle all of the components.
Chemical process simulations are crucial for optimizing industrial operations, but they often require significant computational resources. Now, researchers have developed a new parallel computing framework that dramatically speeds up these simulations by using advanced task graph techniques. Find out how this innovative approach could transform the efficiency of large-scale chemical processes!