Improvement of Atomic Layer Deposition Quality Control Method

Jihong Yan, Shenyi Yan, Pengxiang Wang, Tien Chien Jen

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

Abstract

Atomic layer deposition (ALD) can be used in the fabrication of new materials, optimization of battery electrode surfaces and many other fields. Data-driven quality control method of ALD was studied in this paper, including quality inspection based on image segmentation and quality prediction based on decision tree. The results showed that the algorithms designed in this paper were effective and provided new solutions for the improvement of ALD.

Original languageEnglish
Title of host publication2020 3rd International Conference on Power and Energy Applications, ICPEA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-45
Number of pages5
ISBN (Electronic)9781728190297
DOIs
Publication statusPublished - 9 Oct 2020
Event3rd International Conference on Power and Energy Applications, ICPEA 2020 - Virtual, Busan, Korea, Republic of
Duration: 9 Oct 202011 Oct 2020

Publication series

Name2020 3rd International Conference on Power and Energy Applications, ICPEA 2020

Conference

Conference3rd International Conference on Power and Energy Applications, ICPEA 2020
Country/TerritoryKorea, Republic of
CityVirtual, Busan
Period9/10/2011/10/20

Keywords

  • atomic layer deposition
  • decision tree
  • film quality
  • image segmentation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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