output
20182021
most citedDetermining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural network

19 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

nucl-th2021★ 19 cited

Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural network

X. Zhang, Y. Huang, W. Lin +18

A deep learning based method with the convolutional neural network (CNN) algorithm for determining the impact parameters is developed using the constrained molecular dynamics model…

nucl-th2020★ 9 cited

Systematic study of proton radioactivity of spherical proton emitters with Skyrme interactions

Jun-Hao Cheng, Xiao Pan, You-Tian Zou +3

Proton radioactivity is an important and common process of the natural radioactivity of proton-rich nuclei. In our previous work [J. H. Cheng et al., Nucl. Rhys. A 997, 121717 (202…

cond-mat.mtrl-sci2020★ 5 cited

Surrogate representation of sink strengths and the long-term role of crystalline interfaces in the development of irradiation-induced bubbles

Jing Luo, Yong Xin, Zhengcheng Zhou +2

The present article addresses an early-stage attempt on replacing the analyticity-based sink strength terms in rate equations by surrogate models of machine learning representation…

cond-mat.stat-mech2018★ 13 cited

Phase field modelling voids nucleation and growth in binary systems

D. O. Kharchenko, V. O. Kharchenko, Y. M. Ovcharenko +4

We present a comprehensive study of voids formation, nucleation and growth in a prototype model of binary alloys subjected to irradiation by using a combined approach based on phas…