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Harnessing Machine Learning to Predict MoS2 Solid Lubricant Performance

delete2025-01-14
delete0
PRE
AI
D
Dayton J. Vogel *
T
Tomas F. Babuska
A
Alexander Mings
P
Peter A. MacDonell
J
John F. Curry
S
Steven R. Larson
M
Michael T. Dugger
DOI：10.1007/s11249-024-01957-ydelete
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摘要

摘要

En 中文
物理气相沉积（PVD）二硫化钼（MoS2）固体润滑涂层是机器学习方法的典型材料体系，因为工艺变量的微小变化通常会导致微观结构和力学/摩擦学性能的显著变化。在本工作中，采用梯度提升回归树机器学习方法应用于包含工艺、微观结构和性能信息的现有实验数据集，以深入了解二硫化钼（MoS2）固体润滑涂层的工艺-结构-性能关系。优化和交叉验证的模型显示出对密度、减模量、硬度、磨损率和初始摩擦系数的良好预测能力。通过特征重要性突出了各沉积变量（即氩气压力、沉积功率、靶材调节）对涂层性能的贡献。本文建立的工艺-性能关系展示了线性和非线性关系，并强调了未受控沉积变量（即靶材调节）对摩擦学性能的影响。
Keyword:
MoS2
Machine learning
Thin films
Deposition optimization
PVD
Tribology
Sputtering

期刊

Tribology Letters 封面图
Tribology Letters
IF:
3.3
论文数:
274
被引数:
7.9K

机构

S
Sandia Natl Labs
学者数:
428
论文数: 174
被引数: 52
引用论文

引用论文

Composition and growth mode of MoSx sputtered films
errJournal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films
IF0
err1994-03-01
err0
errOAAI
errJ. Moser; F. Lévy; F. Bussy
err分享
err收藏
Structurally Driven Environmental Degradation of Friction in MoS2 Films
errTribology Letters
IF0
err2021-06-22
err0
errOAAI
errJohn F. Curry; Taisuke Ohta; Frank W. DelRio; Philip Mantos; Morgan R. Jones; Tomas F. Babuska; N. Scott Bobbitt; Nicolas Argibay; Brandon A. Krick; Michael T. Dugger; Michael Chandross
err分享
err收藏
Highly Oriented MoS2 Coatings: Tribology and Environmental Stability
errTribology Letters
IF0
err2016-09-03
err0
PREAI
errJohn F. Curry; Nicolas Argibay; Tomas Babuska; Brendan Nation; Ashlie Martini; Nicholas C. Strandwitz; Michael T. Dugger; Brandon A. Krick
err分享
err收藏
Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation预测月平均水平散射太阳辐射的经验模型的评估
errRENEWABLE & SUSTAINABLE ENERGY REVIEWS
IF16.3
err2016-04-01
err289
PREAI
errDespotovic, Milan; Nedic, Vladimir; Despotovic, Danijela; Cvetanovic, Slobodan
err分享
err收藏
Structural reorientation and compaction of porous MoS2 coatings during wear testing
errWEAR
IF6.1
err2022-07-01
err24
errOAAI
errKrauss, Sebastian; Seynstahl, Armin; Tremmel, Stephan; Meyer, Bernd; Bitzek, Erik; Goken, Mathias; Yokosawa, Tadahiro; Zubiri, Benjamin Apeleo; Spiecker, Erdmann; Merle, Benoit
err分享
err收藏
Artificial intelligence-based predictive model of nanoscale friction using experimental data
errFRICTION
IF8.2
err2021-02-24
err22
errOAAI
errPercic, Marko; Zelenika, Sasa; Mezic, Igor
err分享
err收藏
The Role of Machine Learning in Tribology: A Systematic Review机器学习在摩擦学中的作用: 系统综述
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2022-11-01
err42
PREAI
errPaturi, Uma Maheshwera Reddy; Palakurthy, Sai Teja; Reddy, N. S.
err分享
err收藏
Impact of Microstructure on MoS2 Oxidation and Friction
errACS APPLIED MATERIALS & INTERFACES
IF8.2
err2017-08-08
err104
errOAAI
errCurry, John F.; Wilson, Mark A.; Luftman, Henry S.; Strandwitz, Nicholas C.; Argibay, Nicolas; Chandross, Michael; Sidebottom, Mark A.; Krick, Brandon A.
err分享
err收藏
Comparison of structure and tribological properties of MoS2-Ti films deposited by biased-dc and pulsed-dc
errPROGRESS IN ORGANIC COATINGS
IF7.3
err2012-08-01
err30
PREAI
errArslan, E.; Totik, Y.; Efeoglu, I.
err分享
err收藏
Superlubricity of molybdenum disulphide
errPhysical Review B
IF0
err1993-10-01
err0
PREAI
errJ. M. Martin; C. Donnet; Th. Le Mogne; Th. Epicier
err分享
err收藏
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