output
20022026
most citedTheory of Core-Collapse Supernovae

900 citations

Showing 2017Show all

71 papers · 1 filter

stat.AP201750 cited

Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices

Andrea Saltelli, Ksenia Aleksankina, William Becker +5

Sensitivity analysis (SA) has much to offer for a very large class of applications, such as model selection, calibration, optimization, quality assurance and many others. Sensitivi…

cs.NI20175 cited

Optimal Joint Routing and Scheduling in Millimeter-Wave Cellular Networks

Dingwen Yuan, Hsuan-Yin Lin, Joerg Widmer +1

Millimeter-wave (mmWave) communication is a promising technology to cope with the expected exponential increase in data traffic in 5G networks. mmWave networks typically require a…

nucl-th201722 cited

Energy dependence of non-local potentials

A. E. Lovell, P. -L. Bacq, P. Capel +2

Recently a variety of studies have shown the importance of including non-locality in the description of reactions. The goal of this work is to revisit the phenomenological approach…

quant-ph201719 cited

Distribution of Off-Diagonal Cross Sections in Quantum Chaotic Scattering: Exact Results and Data Comparison

Santosh Kumar, Barbara Dietz, Thomas Guhr +1

The recently derived distributions for the scattering-matrix elements in quantum chaotic systems are not accessible in the majority of experiments, whereas the cross sections are.…

nucl-ex20178 cited

The dominance of the configuration in the shell in Be from the breakup reaction on a proton target at intermediate energy

Le Xuan Chung, Carlos A. Bertulani, Peter Egelhof +3

The momentum distribution of Be fragments produced by the breakup of Be interacting with a proton target at 700.5 MeV/ energy has been measured at GSI Darmstadt. T…

q-bio.MN20171 cited

Quasi-steady-state approximations derived from the stochastic model of enzyme kinetics

Hye-Won Kang, Wasiur R. KhudaBukhsh, Heinz Koeppl +1

In this paper we derive several quasi steady-state approximations (QSSAs) to the stochastic reaction network describing the Michaelis-Menten enzyme kinetics. We show how the differ…