73 citations
- The Ohio State UniversityUS5 papers
- Cornell UniversityUS2 papers
- University of GlasgowGB2 papers
- Argonne National LaboratoryUS1 paper
- Center for Nanophase Materials Sciences1 paper
- Central University of VenezuelaVE1 paper
- Ernst Ruska CentreDE1 paper
- FH AachenDE1 paper
- Forschungszentrum JülichDE1 paper
- Instituto Venezolano de Investigaciones CientíficasVE1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di CagliariIT1 paper
- Janssen (France)FR1 paper
10 papers
Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
Bruno Golosio, Gianmarco Tiddia, José Villamar +10
Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex sys…
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares
Xiao Guo, Guang Cheng
Statistical inferences for quadratic functionals of linear regression parameter have found wide applications including signal detection, global testing, inferences of error varianc…
Form factor ratios for and semileptonic decays and
Christopher J. Monahan, Chris M. Bouchard, G. Peter Lepage +2
We present a lattice quantum chromodynamics determination of the ratio of the scalar and vector form factors for two semileptonic decays of the meson: $B_s \rightarrow K \ell…
Form Factors and the Fragmentation Fraction Ratio
Christopher J Monahan, Heechang Na, Chris M Bouchard +2
We present a lattice quantum chromodynamics determination of the scalar and vector form factors for the decay over the full physical range of momentum…
Ab initio based empirical potential applied to tungsten at high pressure
Robert C. Ehemann, Jeremy W. Nicklas, Hyoungki Park +1
Density-functional theory forces, stresses and energies comprise a database from which the optimal parameters of a spline-based empirical potential combining Stillinger-Weber and m…
GooFit: A library for massively parallelising maximum-likelihood fits
R. Andreassen, B. T. Meadows, M. de Silva +2
Fitting complicated models to large datasets is a bottleneck of many analyses. We present GooFit, a library and tool for constructing arbitrarily-complex probability density functi…