Isosteric design of friction-reduction and anti-wear lubricant additives with less sulfur content

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

(2016) Xinlei Gao et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

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

(2016) Xinlei Gao et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

Establishing quantitative structure tribo-ability relationship model using Bayesian regularization neural network

(2016) Xinlei Gao et al.   Friction

A Three-Dimensional Quantitative Structure Tribo-Ability Relationship Model

(2015) Xinlei Gao et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

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

(2015) Xinlei Gao et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

Tribological study of a highly hydrolytically stable phenylboronic acid ester containing benzothiazolyl in mineral oil

(2014) Zhipeng Li et al.   APPLIED SURFACE SCIENCE

Estimating antiwear properties of lubricant additives using a quantitative structure tribo-ability relationship model with back propagation neural network

(2012) Kang Dai et al.   WEAR

Synopsis of Some Recent Tactical Application of Bioisosteres in Drug Design

(2011) Nicholas A. Meanwell   JOURNAL OF MEDICINAL CHEMISTRY

Low- and zero-sulphated ash, phosphorus and sulphur anti-wear additives for engine oils

(2008) Hugh Spikes   Lubrication Science