Study on the statistical distribution of passing depth by low-energy ion implanted in plant seeds

Bin Rong Wang, Yan Hua You, Xiao Li Yang, Hai Yun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

When the low-energy ions walking through in the plant seeds, its collision with the organic target of the plant seeds is a stochastic process. Therefore, based on the stochastic theory, the Fock-Plank equation which is equivalent to the generalized Langevin equation is solved. Combining the two-body model of the collision between the low- energy ion and the target atom in the plant seeds, the average passing depth of the implanted ions and the passing depth probability density are calculated. According to the above model, when not considering the existence of voids in the plant seeds, the probability density distribution of different ions implanted seeds was compared. It was found that different incident ions collision with the same target atoms inside the plant seeds, the average passing depth are different. And when different energy of implanted ions colliding with the same target atoms, the average passing depth is also different. When considering the existence of voids inside the seeds, the effect of the existence of voids size on the passing depth of the implanted ions is also compared. Finally, the effects of the voids on the passing depth of the implanted ions are compared and found that the voids affected the passing depth of the implanted ions. This model provides a computational model for the passing depth distribution of low-energy ion implantation in plant seeds. This method may be helpful for studying ions breeding and genetic engineering.

Original languageEnglish
Title of host publicationICBCI 2017 - Proceedings of 2017 International Conference on Bioinformatics and Computational Intelligence
PublisherAssociation for Computing Machinery
Pages26-30
Number of pages5
ISBN (Electronic)9781450353113
DOIs
Publication statusPublished - 8 Sept 2017
Event2017 International Conference on Bioinformatics and Computational Intelligence, ICBCI 2017 - Beijing, China
Duration: 8 Sept 201711 Sept 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2017 International Conference on Bioinformatics and Computational Intelligence, ICBCI 2017
Country/TerritoryChina
CityBeijing
Period8/09/1711/09/17

Keywords

  • Depth distribution
  • Ion implantation with low-energy
  • Plant seeds

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