A revolutionary machine-learning (ML) approach to simulate the motions of atoms in materials such as aluminum is described. A revolutionary machine-learning (ML) approach to simulate the motions of ...
Researchers solving today’s most important and complex energy challenges can’t always conduct real-world experiments. This is especially true for nuclear energy research. Considerations such as cost, ...
Researchers led by Jin-Long Yang are developing code that is moving the scope of precise atomic-level quantum chemistry simulations up to a few hundred thousand atoms, making it possible to simulate ...
A team of researchers from the 5th Institute of Physics at the University of Stuttgart is making important progress in the field of quantum simulation and quantum computing based on Rydberg atoms by ...
Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a machine learning framework that can predict with quantum-level accuracy how materials ...
Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine learning method—Euclidean Fast Attention (EFA)—that enables global atomic ...
Combining artificial intelligence and quantum mechanics, researchers have simulated what happens at the molecular level when water freezes. The result is the most complete yet simulation of the first ...
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Supercomputer simulations map spliceosome motions in a two-million-atom human cell model
A new study from the Italian Institute of Technology (IIT), in collaboration with Uppsala University (Sweden) and AstraZeneca, shows how computational chemistry and supercomputers can help scientists ...
In the basement of Kirchhoff-Institut für Physik in Germany, researchers have been simulating the Universe as it might have existed shortly after the Big Bang. They have created a tabletop quantum ...
Scientists may have uncovered a bizarre new state of matter deep inside Uranus and Neptune, where atoms behave in unexpected ...
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