The ALCF user community produces numerous publications each year that document their scientific results. These refereed journal articles and conference proceedings represent research ventures that use ALCF computing resources through programs supported by DOE and Argonne National Laboratory.

journal article

Asad Khan, EA Huerta, Arnav Das, "Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers," Physics Letters B, (July/2020), Elsevier, pp. 135628, . doi: 10.1016/j.physletb.2020.135628