Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining ...

In a study published in The Astrophysical Journal, scientists have proposed the features of the rapid neutron capture process (r-process) nucleosynthesis in a novel scenario: common envelop jet ...

Machine learning models energy release during heavy-element formation, enabling faster simulations of neutron star mergers ...

Some of the universe’s heaviest elements are born in chaos, in matter flung outward when neutron stars collide or massive ...

The r-process, or rapid neutron-capture process, as a research area focuses on understanding the nucleosynthesis of roughly half of the elements heavier than iron through environments with extremely ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...

In a new paper published in The Astrophysical Journal Letters, a team of researchers led by Anirudh Patel of Columbia University has reported that the universe may have another way to produce the ...

Nucleosynthesis encompasses the network of nuclear reactions that forge the elements within stars and during stellar death. In the cores of main-sequence stars, hydrogen burning via the proton–proton ...