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Journal Articles

BPNN-QSTR Models for Triazine Derivatives for Lubricant Additives

Tingting Wang, Zhan Wang, Hao Chen, Kang Dai, Xinlei Gao
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. January 2020, 142(1): 011801.
Paper No: TRIB-19-1175
https://doi.org/10.1115/1.4044850
Published Online: October 17, 2019
View Article titled, BPNN-QSTR Models for Triazine Derivatives for Lubricant Additives
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Topics: Lubricants, Pressure, Tribology, Wear, Atoms, Artificial neural networks
Journal Articles

BPNN–QSTR Modeling to Develop Isosteres as Sulfur-Free, Anti-Wear Lubricant Additives

Xinlei Gao, Zhan Wang, Tingting Wang, Ze Song, Kang Dai, Hao Chen
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research-Article
J. Tribol. January 2019, 141(1): 011801.
Paper No: TRIB-18-1041
https://doi.org/10.1115/1.4040836
Published Online: August 13, 2018
View Article titled, BPNN–QSTR Modeling to Develop Isosteres as Sulfur-Free, Anti-Wear Lubricant Additives
Open the PDF for BPNN–QSTR Modeling to Develop Isosteres as Sulfur-Free, Anti-Wear Lubricant Additives in another window
Topics: Lubricants, Sulfur, Wear
Includes: Supplementary data
Journal Articles

Quantitative Structure Tribo-Ability Relationship for Organic Compounds as Lubricant Base Oils Using CoMFA and CoMSIA

Xinlei Gao, Denghui Liu, Zhan Wang, Kang Dai
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research-Article
J. Tribol. July 2016, 138(3): 031802.
Paper No: TRIB-15-1132
https://doi.org/10.1115/1.4033191
Published Online: May 4, 2016
View Article titled, Quantitative Structure Tribo-Ability Relationship for Organic Compounds as Lubricant Base Oils Using CoMFA and CoMSIA
Open the PDF for Quantitative Structure Tribo-Ability Relationship for Organic Compounds as Lubricant Base Oils Using CoMFA and CoMSIA in another window
Topics: Lubricants, Oils, Organic compounds, Petroleum, Tribology, Wear, Electric fields
Includes: Supplementary data
Journal Articles

BPNN–QSTR Friction Model for Organic Compounds as Potential Lubricant Base Oils

Xinlei Gao, Ruitao Wang, Zhan Wang, Kang Dai
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research-Article
J. Tribol. July 2016, 138(3): 031801.
Paper No: TRIB-15-1093
https://doi.org/10.1115/1.4032304
Published Online: March 22, 2016
View Article titled, BPNN–QSTR Friction Model for Organic Compounds as Potential Lubricant Base Oils
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Topics: Friction, Lubricants
Includes: Supplementary data
Journal Articles

A Quantitative Structure Tribo-Ability Relationship Model for Ester Lubricant Base Oils

Xinlei Gao, Zhan Wang, Kang Dai, Tingting Wang
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research-Article
J. Tribol. April 2015, 137(2): 021801.
Paper No: TRIB-13-1255
https://doi.org/10.1115/1.4029332
Published Online: April 1, 2015
View Article titled, A Quantitative Structure Tribo-Ability Relationship Model for Ester Lubricant Base Oils
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Topics: Ester, Lubricants, Tribology, Wear, Steel, Oils, Petroleum
Includes: Supplementary data
Journal Articles

A Three-Dimensional Quantitative Structure Tribo-Ability Relationship Model

Xinlei Gao, Zhan Wang, Hong Zhang, Kang Dai
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research-Article
J. Tribol. April 2015, 137(2): 021802.
Paper No: TRIB-14-1119
https://doi.org/10.1115/1.4029388
Published Online: April 1, 2015
View Article titled, A Three-Dimensional Quantitative Structure Tribo-Ability Relationship Model
Open the PDF for A Three-Dimensional Quantitative Structure Tribo-Ability Relationship Model in another window
Topics: Friction, Lubricants, Tribology, Wear
Includes: Supplementary data