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Volumn 7, Issue 2, 2012, Pages 1045-1059

A predictive model for corrosion inhibition of mild steel by thiophene and its derivatives using artificial neural network

Author keywords

Acid inhibition; Mild steel; Modeling studies; Polarization

Indexed keywords


EID: 84857822541     PISSN: None     EISSN: 14523981     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (60)

References (52)
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    • OECD, Report on the regulatory uses and applications in OECD member countries of (quantitative) structure-activity relationship [(Q)SAR] models in the assessment of new and existing chemicals, accessed January 2009
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    • Corros. Sci.
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    • Khaaled, K.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.