3 citations · 3 across the 7 of their papers we have counts for
7 papers
Joint probability density with radial, tangential, and perturbative forces
Jae-Won Jung, Sung Kyu Seo, Sungchul Kwon +1
We study the Fokker-Planck equation for an active particle with both the radial and tangential forces and the perturbative force. We find the solution of the joint probability dens…
Joint probability densities of an active particle coupled to two heat reservoirs
Jae-Won Jung, Sung Kyu Seo, Kyungsik Kim
We derive a Fokker-Planck equation for joint probability density for an active particle coupled two heat reservoirs with harmonic, viscous, random forces. The approximate solution…
Dynamical behavior of passive particles with harmonic, viscous, and correlated Gaussian forces
Jae Won Jung, Sung Kyu Seo, Kyungsik Kim
In this paper, we study the Navier-Stokes equation and the Burgers equation for the dynamical motion of a passive particle with harmonic and viscous forces, subject to an exponenti…
On the motion of passive and active particles with harmonic and viscous forces
Jae-Won Jung, Sung Kyu Seo, Kyungsik Kim
In this paper, we solve the joint probability density for the passive and active particles with harmonic, viscous, and perturbative forces. After deriving the Fokker-Planck equatio…
Joint probability density of a passive article with force and magnetic field
Jae-Won Jung, Sung Kyu Seo, Kyungsik Kim
We firstly study the Navier-Stokes equation for the motion of a passive particle with harmonic, viscous, perturbative forces, subject to an exponentially correlated Gaussian force.…
Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory
Ki-Hong Shin, Jae-Won Jung, Ki-Ho Chang +3
This paper presents the predictive accuracy using two-variate meteorological factors, average temperature and average humidity, in neural network algorithms. We analyze result in f…
Dynamical prediction of two meteorological factors using the deep neural network and the long short term memory
Ki Hong Shin, Jae Won Jung, Sung Kyu Seo +6
It is important to calculate and analyze temperature and humidity prediction accuracies among quantitative meteorological forecasting. This study manipulates the extant neural netw…