8 citations · 15 across the 2 of their papers we have counts for
2 papers
physics.soc-ph2018★ 7 cited
Using Machine Learning to Predict the Evolution of Physics Research
Wenyuan Liu, Stanisław Saganowski, Przemysław Kazienko +1
The advancement of science as outlined by Popper and Kuhn is largely qualitative, but with bibliometric data it is possible and desirable to develop a quantitative picture of scien…
physics.comp-ph2009★ 8 cited
Stochastic boundary conditions for molecular dynamics simulations
M. Prusty, S. A. Cheong
In this paper we develop a stochastic boundary conditions (SBC) for event-driven molecular dynamics simulations of a finite volume embedded within an infinite environment. In this…