240 citations · 542 across the 8 of their papers we have counts for
8 papers
Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions
Fabio Capela, Vincent Nouchi, Ruud Van Deursen +2
Prediction of molecular properties, including physico-chemical properties, is a challenging task in chemistry. Herein we present a new state-of-the-art multitask prediction method…
Modified Dust and the Small Scale Crisis in CDM
Fabio Capela, Sabir Ramazanov
At large scales and for sufficiently early times, dark matter is described as a pressureless perfect fluid---dust---non-interacting with Standard Model fields. These features are c…
Adiabatic contraction revisited: implications for primordial black holes
Fabio Capela, Maxim Pshirkov, Peter Tinyakov
We simulate the adiabatic contraction of a dark matter (DM) distribution during the process of the star formation, paying particular attention to the phase space distribution of th…
A comment on "Exclusion of the remaining mass window for primordial black holes ...", arXiv:1401.3025
Fabio Capela, Maxim Pshirkov, Peter Tinyakov
In arXiv:1401.3025 a new mechanism of energy loss by primordial black holes passing through neutron stars has been proposed, which is more efficient, by many orders of magnitude, t…
Constraints on primordial black holes as dark matter candidates from capture by neutron stars
Fabio Capela, Maxim Pshirkov, Peter Tinyakov
We investigate constraints on primordial black holes (PBHs) as dark matter candidates that arise from their capture by neutron stars (NSs). If a PBH is captured by a NS, the star i…
Constraints on primordial black holes as dark matter candidates from star formation
Fabio Capela, Maxim Pshirkov, Peter Tinyakov
By considering adiabatic contraction of the dark matter (DM) during star formation, we estimate the amount of DM trapped in stars at their birth. If the DM consists partly of primo…