Gr@v is a team of researchers, based at the Mathematics and Physics Department of Aveiro University, Portugal, working on strong gravity, astrophysics and high energy physics. The group was established in 2010. In January 2015 Gr@v integrated the FCT funded CIDMA research unit (UIDB/04106/2020 and UIDP/04106/2020), as the Gravitational Geometry and Dynamics research group. The group scientific coordinator is C. Herdeiro.
C. Herdeiro was nominated a 2021 Outstanding Referee by the American Physical Society (APS). The Outstanding Referee program was instituted in 2008 to recognize scientists who have been exceptionally helpful in assessing manuscripts for publication in the APS journals. This highly selective program annually recognizes about 150 of the roughly 71,000 currently active referees.
The machine learning work by Gr@v member Felipe Freitas for detecting gravitational waves was awarded a prize of US $4000 in QHack 2021, being ranked in the top 20 amongst over 300 submitted projects.
A list of the impact of scientists' careers was revealed in late 2020 in a study coordinated by John Ioannidis, from Stanford University (USA). It includes 34 scientists from the University of Aveiro (UA), including 2 from Gr@v. Read the UA coverage here.
Gr@v members co-author a paper in Physical Review Letters suggesting GW190521 may be a hint of a new dark matter particle.
Traversable wormholes are intriguing geometries in General Relativity, which have leaked into science fiction becoming known to the general public. Yet, they typically require exotic matter. In a paper in Phys. Rev. Lett., as Editor's suggestion, Gr@v member E. Radu, together with J. Blázquez-Salcedo (Complutense U.) and C. Knoll (U. Oldenburg), have shown how to construct wormholes in General Relativity without the use of exotic matter (or modified gravity).
The paper "Stationary black holes and light rings", by P. Cunha and C. Herdeiro, published in 2020 in Physical Review Letters as Editor's Suggestion, has been placed in the top 5% of all research outputs scored by Altmetric.