A Three Dimensional Quantitative Structure Tribo Ability Relationship Model

Abstract

The prediction of lubrication characteristics for compounds through tribological models would aid in the discovery of new lubricant additives and improved lubricant design. But until recently, the field of tribological prediction has been sparse and not systematic. Tribological processes are complex and involve molecular energy exchange as well as conformation transitions. We have developed a platform of a “quantitative structure triboability relationship (QSTR),â€‌ which enables us to introduce welldeveloped quantitative structure–activity relationships (QSAR) methods into tribology systematically. The present study applies “evaluation of infrared vibrationbasedâ€‌ (EVA) descriptors, which are threedimensional (3D) QSAR descriptors to simulate infrared (IR) vibration properties of molecules, in order to establish the QSTR prediction model. As structural changes take place under friction loads, the EVA descriptors characterize both molecular energy and conformations. The results show a strong correlation and robust predictability of the EVA model to tribological parameters. The approach paves a way to a systematic QSTR.