Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied to other models that predict ...
Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy.
About 100 million metric tons of high-density polyethylene (HDPE), one of the world's most commonly used plastics, are produced annually, using more than 15 times the energy needed to power New York City for a year and adding ...
A research team from the Xinjiang Technical Institute of Â鶹ÒùÔºics and Chemistry of the Chinese Academy of Sciences has made strides in the theoretical design of nonlinear optical (NLO) materials by leveraging machine learning ...
Despite having recently officially ended its science operations in January, Gaia, one of the most prolific star explorers ever, is still providing new scientific insights. A recent paper submitted to The Astrophysical Journal ...
Early diagnosis is crucial in disease prevention and treatment. Many diseases can be identified not just through physical signs and symptoms but also through changes at the cellular and molecular levels.
Much like a tongue freezes to a frigid metal pole, ice can speed up the adsorption, or stickiness, of molecules. An icy surface can also cause molecules to degrade in the presence of light, releasing trace gases. Before researchers ...
Researchers at the Fritz Haber Institute have developed the Automatic Process Explorer (APE), an approach that enhances our understanding of atomic and molecular processes. By dynamically refining simulations, APE has uncovered ...
Binary neutron star mergers occur millions of light-years away from Earth. Interpreting the gravitational waves they produce presents a major challenge for traditional data-analysis methods. These signals correspond to minutes ...
In a recent study, researcher Anandasankar Ray at the University of California, Riverside, and his team employed machine learning techniques combined with cheminformatics to predict novel mosquito repellents that could greatly ...
