Skip to main navigation Skip to search Skip to main content

Using high throughput experimental data and in silico models to discover alternatives to toxic chromate corrosion inhibitors

  • D. A. Winkler*
  • , M. Breedon
  • , P. White
  • , A. E. Hughes
  • , E. D. Sapper
  • , I. Cole
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

140 Citations (Scopus)

Abstract

Restrictions on the use of toxic chromate-based corrosion inhibitors have created important issues for the aerospace and other industries. Benign alternatives that offer similar or superior performance are needed. We used high throughput experiments to assess 100 small organic molecules as potential inhibitors of corrosion in aerospace aluminium alloys AA2024 and AA7075. We generated robust, predictive, quantitative computational models of inhibitor efficiency at two pH values using these data. The models identified molecular features of inhibitor molecules that had the greatest impact on corrosion inhibition. Models can be used to discover better corrosion inhibitors by screening libraries of organic compounds for candidates with high corrosion inhibition.

Original languageEnglish
Pages (from-to)229-235
Number of pages7
JournalCorrosion Science
Volume106
DOIs
Publication statusPublished - 1 May 2016
Externally publishedYes

Fingerprint

Dive into the research topics of 'Using high throughput experimental data and in silico models to discover alternatives to toxic chromate corrosion inhibitors'. Together they form a unique fingerprint.

Cite this