60 citations · 136 across the 5 of their papers we have counts for
5 papers
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks
Imran Nasim, Adam Nasim
Pharmacometric models are pivotal across drug discovery and development, playing a decisive role in determining the progression of candidate molecules. However, the derivation of m…
Formation of counter-rotating and highly eccentric massive black hole binaries in galaxy mergers
Imran Nasim, Cristobal Petrovich, Adam Nasim +2
Supermassive black hole (SMBH) binaries represent the main target for missions such as the Laser Interferometer Space Antenna and Pulsar Timing Arrays. The understanding of their d…
EDGE: Two routes to dark matter core formation in ultra-faint dwarfs
Matthew D. A. Orkney, Justin I. Read, Martin P. Rey +6
In the standard Lambda cold dark matter paradigm, pure dark matter simulations predict dwarf galaxies should inhabit dark matter haloes with a centrally diverging density `cusp'. T…
Formation of the largest galactic cores through binary scouring and gravitational wave recoil
Imran Nasim, Alessia Gualandris, Justin I. Read +3
Massive elliptical galaxies are typically observed to have central cores in their projected radial light profiles. Such cores have long been thought to form through `binary scourin…
Defeating stochasticity: coalescence timescales of massive black holes in galaxy mergers
Imran Nasim, Alessia Gualandris, Justin Read +3
The coalescence of massive black hole binaries (BHBs) in galactic mergers is the primary source of gravitational waves (GWs) at low frequencies. Current estimates of GW detection r…