Extreme Gradient Boosting to Predict Atomic Layer Deposition for Platinum Nano-Film Coating-Reference-Cited by-同舟云学术

Extreme Gradient Boosting to Predict Atomic Layer Deposition for Platinum Nano-Film Coating

Published:2023-03-22 Issue:14 Volume:39 Page:4984-4992
ISSN:0743-7463
Container-title:Langmuir
language:en
Short-container-title:Langmuir

Author:

Yoon Sung-Ho¹²³,Jeon Jun-Hyeok¹²,Cho Seung-Beom²,Nacpil Edric John Cruz³,Jeon Il³^ORCID,Choi Jae-Boong²,Kim Hyeongkeun¹^ORCID

Affiliation:

1. Electronic Convergence Materials and Device Research Center, Korea Electronics Technology Institute, 25, Saenari-ro, Bundang-gu, Seongnam 13509, Republic of Korea

2. Mechanical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, Republic of Korea

3. Department of Nano Engineering, Department of Nano Science and Technology, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, Republic of Korea

Funder

Seoul National University of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

Electrochemistry,Spectroscopy,Surfaces and Interfaces,Condensed Matter Physics,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.langmuir.2c03465

Reference44 articles.

1. Macro-micro-nano multistage toughening in nano-laminated graphene ceramic composites

2. Mechanical properties improvement of shape memory polymers by designing the microstructure of multi-phase heterogeneous materials

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4. Effects of NbC content on microstructural evolution and mechanical properties of laser cladded Fe50Mn30Co10Cr10-xNbC composite coatings

5. Physics-informed machine learning for composition – process – property design: Shape memory alloy demonstration

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