In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of th...
How stars form in galaxies remains a major open question in astrophysics. A new UZH study sheds new light on this topic with the help of a data-driven...
The model predicts promising new materials Superhard materials are in high demand in industry, from energy production to aerospace, but finding suitab...
With only 1% difference, the human and chimpanzee protein-coding genomes are remarkably similar. Understanding the biological features that make us hu...
New computational research makes reliable predictions about desirable properties of new 2D materials, saving experimental researchers time and money a...
Researchers will create supercomputer models based on sophisticated material tests that provide insight into nanosecond-scale events Southwest Researc...
Dr. Peter Garraghan, a Lecturer in Lancaster University's School of Computing and Communications, has been awarded a £1 million fellowship by the Engi...
Japanese researchers from the Institute of Industrial Science at The University of Tokyo used molecular dynamics calculations to simulate the glass-fo...
The predictions are based on data on the dynamics of the epidemic in countries where the disease was recorded earlier. Scientists of the Intelligent L...
Researchers from the University of Kent have developed a computer algorithm that can identify differences in cancer cell lines based on microscopic im...
Novel signature could improve understanding of depression and its subtypes, and how to treat them Using machine learning, researchers have identified...
A new study of airflow patterns inside a car's passenger cabin offers some suggestions for potentially reducing the risk of COVID-19 transmission whil...
In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of the coronavirus. However, the model had fundamental shortcomings and cannot be used to draw...
How stars form in galaxies remains a major open question in astrophysics. A new UZH study sheds new light on this topic with the help of a data-driven re-analysis of observational measurements. The star-formation activity of typical, nearby...
The model predicts promising new materials Superhard materials are in high demand in industry, from energy production to aerospace, but finding suitable new materials has largely been a matter of trial and error based on classical materials...
With only 1% difference, the human and chimpanzee protein-coding genomes are remarkably similar. Understanding the biological features that make us human is part of a fascinating and intensely debated line of research. Researchers at the SI...
New computational research makes reliable predictions about desirable properties of new 2D materials, saving experimental researchers time and money and foreshadowing 'tunable' materials for particular applications New 2D materials have the...
Researchers will create supercomputer models based on sophisticated material tests that provide insight into nanosecond-scale events Southwest Research Institute has received a four-year, $4.5 million U.S. Department of Defense (DoD) contra...
Dr. Peter Garraghan, a Lecturer in Lancaster University's School of Computing and Communications, has been awarded a £1 million fellowship by the Engineering and Physical Sciences Research Council (EPSRC), part of UK Research and Innovation...
Japanese researchers from the Institute of Industrial Science at The University of Tokyo used molecular dynamics calculations to simulate the glass-forming ability of metallic mixtures. They show that even small changes in composition can s...
The predictions are based on data on the dynamics of the epidemic in countries where the disease was recorded earlier. Scientists of the Intelligent Logistics Centre at St Petersburg University have developed a new Case-Based Rate Reasoning...
Researchers from the University of Kent have developed a computer algorithm that can identify differences in cancer cell lines based on microscopic images, a unique development towards ending misidentification of cells in laboratories. Canc...
Novel signature could improve understanding of depression and its subtypes, and how to treat them Using machine learning, researchers have identified novel, distinct patterns of coordinated activity between different parts of the brain in p...
A new study of airflow patterns inside a car's passenger cabin offers some suggestions for potentially reducing the risk of COVID-19 transmission while sharing rides with others. The study, by a team of Brown University researchers, used su...