A novel machine learning model for the characterization of material surfaces
Credit: Journal of the American Chemical Society (2024). DOI: 10.1021/jacs.3c13574 Machine learning (ML) enables the accurate and efficient computation of…
Bringing News as it Unfolds
Credit: Journal of the American Chemical Society (2024). DOI: 10.1021/jacs.3c13574 Machine learning (ML) enables the accurate and efficient computation of…
As a scientist, lab work can sometimes get monotonous. But in 2017, while a Ph.D. student of paleobiology at the…
Researchers at Tohoku University have developed a new cathode material for rechargeable magnesium batteries, enabling efficient charging and discharging at…
A newly developed silicon material covered with tiny nanospikes is capable of taking out 96 percent of the virus particles…
Ontario will announce plans Thursday to produce a nuclear medical isotope that forms the essential component in a life-saving treatment…
Sign up for the daily Inside Washington email for exclusive US coverage and analysis sent to your inbox Get our…
More than half a century ago, Japanese physicist Yosuke Nagaoka theorized a way a magnetic field might expand from meandering…
Abstract. Exploring reactive and selective Ni-based electrocatalysts for the urea oxidation reaction (UOR) is crucial for developing urea-related energy conversion…
Scientists have discovered a new class of materials, carbon nitrides, which could rival diamonds in hardness. This discovery, the result…