New spectrometer is small enough to fit on your phone
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Aug-2025 17:09 ET (20-Aug-2025 21:09 GMT/UTC)
Researchers have successfully demonstrated a spectrometer that is orders of magnitude smaller than current technologies and can accurately measure wavelengths of light from ultraviolet to the near-infrared. The technology makes it possible to create hand-held spectroscopy devices and holds promise for the development of devices that incorporate an array of the new sensors to serve as next-generation imaging spectrometers.
MIT physicists performed an idealized version of the double-slit experiment, stripping it to its quantum essentials. They confirmed that light exists as both a wave and a particle but cannot be observed in both forms at the same time.
Tropospheric ozone (O3) is a concerning pollutant, responsible for reduction in yields of major staple crops like rice, wheat, and maze. In this Journal of Environmental Sciences study, researchers from China and the United States of America found that rising O3 pollution led to national-level wheat, rice, and maize yield losses in China between 2005–2019. This trend was largely mitigated during COVID-19 lockdowns in 2020, indicating the need for an effective emission control policy.
Using computer simulations, University of Wisconsin–Madison mechanical engineers have uncovered a flaw in how rovers are tested on Earth. That error leads to overly optimistic conclusions about how rovers will behave once they're deployed on extraterrestrial missions.
A new study offers the first direct evidence that deep-dwelling mesopelagic fish, which account for up to 94 percent of global fish biomass, excrete carbonate minerals at rates comparable to shallow-water species. The findings validate previous global models suggesting that marine fish are major contributors to biogenic carbonate production in the ocean.
Current methods to predict landslides rely primarily on rainfall intensity. Now, a new model combines various water-related factors with machine learning. When applied to more than 600 landslides in California, model identified the conditions that caused 89% of the events.