Researchers with the Department of Energy's Oak Ridge National Laboratory and the University of Tennessee, Knoxville, have created an innovative method to visualize and analyze atomic structures within specially designed, ...
A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials science studies.
Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production. Transition metals, in particular, ...
How do cells know what they should become as the body develops? Biological development depends crucially on spatial patterns: the lines that eventually give rise to segments, organs, or markings like stripes and spots. Yet ...
Researchers from the Texas A&M College of Agriculture and Life Sciences Department of Entomology and Department of Biochemistry and Biophysics have developed a technique that uses infrared light and machine learning to reveal ...
In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While DeepMind's Nobel Prize-winning AlphaFold model focuses on proteins and how they fold, AlphaGenome ...
The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation, in particular, has drawn increasing interest due to its favorable thermodynamic properties and ...
The Northwest can expect a widespread increase in days with cloud-to-ground lightning in the years to come, along with heightened wildfire risk, according to projections made with a unique machine-learning approach developed ...
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always ...
A common data basis is the prerequisite for efficient and informed action. Up to now, this has, however, been lacking for plant health, which is of great importance for global agriculture and climate research.
