Stars are the basic building blocks of the visible Universe and have produced almost all chemical elements heavier than helium. Massive stars with luminosities of up to several million times that of our Sun are cosmic powerhouses. Their immense radiation, strong stellar winds and powerful supernova (SN) explosions helped to re-ionise the Universe after the Dark Ages, drive the evolution of galaxies and laid the foundation for life as we know it. Massive stars end their lives in spectacular SNe and leave behind neutron stars (NSs) and black holes (BHs) that open the door to physics inaccessible otherwise on Earth. NSs are made of ultra-compact matter and the so-called magnetars are supposed to host the strongest magnetic fields in the entire Cosmos. Thanks to large transient surveys and the detection of gravitational waves from merging NSs and BHs, massive star research shifted into the focus of modern astrophysics. An accurate understanding of the lives and final fates of massive stars is essential, yet large gaps remain.
Most stars are not alone but have a companion with whom they orbit in a binary-star system. While stars evolve, they grow in size and mass transfer from one star to the other may begin. In about a quarter of cases, such a phase leads to the coalescence of both stars. Magnetic fields are generated in mergers, possibly explaining the more than 70-year-old mystery of the origin of strong, surface magnetic fields in some massive stars. When magnetic massive stars explode in SNe, they may form highly-magnetic NSs, thereby offering a solution to the origin of the strongest magnets in the Universe. It is unclear whether and how SN explosions are affected by previous binary mass exchanges. For example, the famous SN 1987A is best explained by a merger product, and also Eta Carinae, a star that became the second brightest star in the night sky during its great eruption in ~1840, might be the result of merging stars. For these reasons, we conduct the first three-dimensional (3D), magnetohydrodynamic (MHD) simulations of stellar mergers. They will allow us to better understand these complex physical phases and emerging phenomena such as strong magnetism. Furthermore, we make detailed models of various binary mass-transfer phases, map out the binary-star parameter space that leads to stellar mergers and develop computationally cheaper, simplified merger models. We can then follow the evolution of a large set of models up to the SN stage to better understand the diversity of SNe and other transients. Every model must be checked against observations for validation. To this end, we will develop machine-learning techniques to compare our models to observations of stars and be able to use the observations to inform the modelling. The project will open new possibilities for massive star research, solve long-standing questions and offer plentiful extensions.