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Molecular modelling of compounds used for corrosion inhibition studies: a review
Molecular modelling of organic compounds using computational software has emerged as a
powerful approach for theoretical determination of the corrosion inhibition potential of …
powerful approach for theoretical determination of the corrosion inhibition potential of …
Molecular modeling applied to corrosion inhibition: a critical review
In the last few years, organic corrosion inhibitors have been used as a green alternative to
toxic inorganic compounds to prevent corrosion in materials. Nonetheless, the fundamental …
toxic inorganic compounds to prevent corrosion in materials. Nonetheless, the fundamental …
Development of QSAR-based (MLR/ANN) predictive models for effective design of pyridazine corrosion inhibitors
Twenty pyridazine derivatives with previously reported experimental data were utilized to
develop predictive models for the anticorrosion abilities of pyridazine-based compounds …
develop predictive models for the anticorrosion abilities of pyridazine-based compounds …
Quantitative structure activity relationship and artificial neural network as vital tools in predicting coordination capabilities of organic compounds with metal surface: A …
It has been well-established that organic corrosion inhibitors often form protective film
through coordinate bonding with the metal. Different computational and experimental …
through coordinate bonding with the metal. Different computational and experimental …
Application and performance of machine learning techniques in manufacturing sector from the past two decades: A review
Advancement in technology has created wide opportunities for the researchers to utilize
artificial intelligence in various fields. Numerous attempts have been made in the use of …
artificial intelligence in various fields. Numerous attempts have been made in the use of …
Probing the randomness of the local current distributions of 316 L stainless steel corrosion in NaCl solution
This investigation proposes using Scanning Electrochemical Cell Microscopy (SECCM) as a
high throughput tool to collect corrosion activity from randomly probed locations on 316 L …
high throughput tool to collect corrosion activity from randomly probed locations on 316 L …
An optimization method for multi-objective and multi-factor designing of a ceramic slurry: Combining orthogonal experimental design with artificial neural networks
L Deng, B Feng, Y Zhang - Ceramics International, 2018 - Elsevier
Three-dimensional printing (3D printing) technology based on slurry extrusion makes it
possible to realize rapid manufacture of personalized, refined and complex ceramic …
possible to realize rapid manufacture of personalized, refined and complex ceramic …
Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models
The degradation behaviour of magnesium and its alloys can be tuned by small organic
molecules. However, an automatic identification of effective organic additives within the vast …
molecules. However, an automatic identification of effective organic additives within the vast …
Dynamic failure analysis of process systems using neural networks
Complex and non-linear relationships exist among process variables in a process operation.
Owing to these complex and non-linear relationships potential accident modelling using an …
Owing to these complex and non-linear relationships potential accident modelling using an …
Inhibitor_Mol_VAE: a variational autoencoder approach for generating corrosion inhibitor molecules
Deep learning-based generative modeling demonstrates proven advantages as an effective
approach in molecular discovery. This study introduces a generative-network based method …
approach in molecular discovery. This study introduces a generative-network based method …