Engineers at Australia's Monash University have developed world-first technology that can help industry identify and export high quality graphene cheaper, faster and more accurately than current methods.
Nanomaterials
Aug 26, 2020
0
332
A machine-learning algorithm that can predict the compositions of trend-defying new materials has been developed by RIKEN chemists1. It will be useful for finding materials for applications where there is a trade-off between ...
Materials Science
Aug 7, 2020
0
319
By applying a machine-learning algorithm, scientists at the Niels Bohr Institute, University of Copenhagen, have developed a method to classify all gamma-ray bursts (GRBs), rapid highly energetic explosions in distant galaxies, ...
Astronomy
Jul 17, 2020
1
166
Washington State University researchers have developed an easy-to-use software program to identify drug-resistant genes in bacteria.
Cell & Microbiology
Jul 6, 2020
0
48
A team of researchers from Nottingham Trent University, l'Institut National de Recherche en Agriculture and Centre Apicole de Recherche et d'Information reports accurately predicting honeybee swarming by listening to sounds ...
A pair of researchers at the Swiss Federal Institute of Aquatic Science and Technology has created a global map that highlights areas where there are likely dangerous levels of arsenic in groundwater. In their paper published ...
Scientists at the University of South Carolina and Columbia University have developed a faster way to design and make gas-filtering membranes that could cut greenhouse gas emissions and reduce pollution.
Materials Science
May 15, 2020
0
669
Each year, researchers from around the world visit the Department of Energy's SLAC National Accelerator Laboratory to conduct hundreds of experiments in chemistry, materials science, biology and energy research at the Linac ...
General Physics
Apr 29, 2020
0
315
A new algorithm could enable faster, less expensive detection of weapons-grade nuclear materials at borders, quickly differentiating between benign and illicit radiation signatures in the same cargo.
General Physics
Apr 29, 2020
0
47
The new study, published today in Scientific Reports, has found that machine learning has the potential to enhance and improve a veterinarian's ability to accurately diagnose herd mastitis origin and reduce mastitis levels ...
Veterinary medicine
Mar 9, 2020
0
129
