Skoltech researchers have created a digital twin of a polymer composite material with a 2D sensor and successfully used it for structural integrity testing. The new technology can be used to manufacture various large structures, ...
An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a groundwater supply. The new tool ...
Accurately modeling particle movement through fluids is crucial in fields ranging from chemical engineering to aerospace. The drag coefficient, which influences how particles settle and move in fluid environments, is a core ...
Over the past two decades, new technologies have helped scientists generate a vast amount of biological data. Large-scale experiments in genomics, transcriptomics, proteomics, and cytometry can produce enormous quantities ...
Patients with late-stage cancer often have to endure multiple rounds of different types of treatment, which can cause unwanted side effects and may not always help.
White band disease has been devastating colonies of staghorn and elkhorn corals in the Caribbean, but the major pathogenic agent has not been identified.
Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo Collaboration Hub) have developed a new machine learning model to predict the dielectric function of materials, ...
Kory Burns, a professor at the University of Virginia School (UVA) of Engineering and Applied Science, is a materials science researcher who is using artificial intelligence to improve materials characterization. He and his ...
Blood samples of patients infected with a parasitic worm that causes schistosomiasis contain hidden information that marks different stages of the disease. In our recently published research, our team used machine learning ...
Atmospheric blocking events are persistent, high-impact weather patterns that occur when large-scale high-pressure systems become stationary and divert the jet stream and storm tracks for days to weeks, and can be associated ...
