Significance of artificial neural network analytical models in materials’ performance prediction

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

(2018) Tian Xie et al.   PHYSICAL REVIEW LETTERS

A Modified Back Propagation Artificial Neural Network Model Based on Genetic Algorithm to Predict the Flow Behavior of 5754 Aluminum Alloy

(2018) Changqing Huang et al.   Materials

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

(2017) Panagiotis Asteris et al.   SENSORS

A comparative study on the phenomenological and artificial neural network models to predict hot deformation behavior of AlCuMgPb alloy

(2016) H.R. Rezaei Ashtiani et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Predicting concrete corrosion of sewers using artificial neural network

(2016) Guangming Jiang et al.   WATER RESEARCH

An Artificial Neural Network-Based Algorithm for Evaluation of Fatigue Crack Propagation Considering Nonlinear Damage Accumulation

(2016) Wei Zhang et al.   Materials

An artificial neural network for predicting corrosion rate and hardness of magnesium alloys

(2016) X. Xia et al.   MATERIALS & DESIGN

A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-nary Inorganic Polycrystalline Compounds

(2016) Maarten de Jong et al.   Scientific Reports

Prediction of primary water stress corrosion crack growth rates in Alloy 600 using artificial neural networks

(2015) Jiangbo Shi et al.   CORROSION SCIENCE

Characterization of pitting corrosion of stainless steel using artificial neural networks

(2015) M. J. Jiménez-Come et al.   MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION

Predictions of corrosion current density and potential by using chemical composition and corrosion cell characteristics in microalloyed pipeline steels

(2015) Neda Narimani et al.   MEASUREMENT

Hybrid neural network-based prediction model for tribological properties of polyamide6-based friction materials

(2015) Duxin Li et al.   POLYMER COMPOSITES

Predictions of toughness and hardness by using chemical composition and tensile properties in microalloyed line pipe steels

(2014) Mohammad Javad Faizabadi et al.   NEURAL COMPUTING & APPLICATIONS

Application of artificial neural networks to predict corrosion behavior of Ni–SiC composite coatings deposited by ultrasonic electrodeposition

(2013) Youjun Xu et al.   CERAMICS INTERNATIONAL

Modeling of corrosion reaction data in inhibited acid environment using regressions and artificial neural networks

(2013) Anees Abdullah Khadom   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Artificial neural network modelling to predict hot deformation behaviour of zinc–aluminium alloy

(2013) Y Liu et al.   MATERIALS SCIENCE AND TECHNOLOGY

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

(2013) Anubhav Jain et al.   APL Materials

Non-destructive investigation of corrosion current density in steel reinforced concrete by artificial neural networks

(2012) L. Sadowski   Archives of Civil and Mechanical Engineering

In-process prediction of surface roughness in turning of Ti–6Al–4V alloy using cutting parameters and vibration signals

(2012) Vikas Upadhyay et al.   MEASUREMENT

Artificial neural network predictors for mechanical properties of cold rolling products

(2011) J. Ghaisari et al.   ADVANCES IN ENGINEERING SOFTWARE

Application of artificial neural network to predict flow stress of as quenched A357 alloy

(2011) X W Yang et al.   MATERIALS SCIENCE AND TECHNOLOGY

Prediction of time to failure in stress corrosion cracking of 304 stainless steel in aqueous chloride solution by artificial neural network

(2011) S. A. Lajevardi et al.   Protection of Metals and Physical Chemistry of Surfaces

Artificial neural networks for predicting sliding friction and wear properties of polyphenylene sulfide composites

(2011) Lada A. Gyurova et al.   TRIBOLOGY INTERNATIONAL

Prediction of corrosion behaviour of Alloy 22 using neural network as a data mining tool

(2010) Mst Kamrunnahar et al.   CORROSION SCIENCE

A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys

(2010) N. Birbilis et al.   CORROSION SCIENCE

Artificial neural network corrosion modeling for metals in an equatorial climate

(2009) Elaine D. Kenny et al.   CORROSION SCIENCE

Prediction of corrosion behavior using neural network as a data mining tool

(2009) Mst Kamrunnahar et al.   CORROSION SCIENCE

Using genetic algorithm-back propagation neural network prediction and finite-element model simulation to optimize the process of multiple-step incremental air-bending forming of sheet metal

(2009) Zemin Fu et al.   MATERIALS & DESIGN

Assessment of the effect of existing corrosion on the tensile behaviour of magnesium alloy AZ31 using neural networks

(2009) V. Kappatos et al.   MATERIALS & DESIGN

Performance of neural networks in materials science

(2009) H. K. D. H. Bhadeshia et al.   MATERIALS SCIENCE AND TECHNOLOGY

Modelling correlation between hot working parameters and flow stress of IN625 alloy using neural network

(2009) M. Montakhab et al.   MATERIALS SCIENCE AND TECHNOLOGY

Artificial neural network a tool for predicting failure strength of composite tensile coupons using acoustic emission technique

(2008) S. Rajendraboopathy et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Artificial Neural Network Prediction of Ultimate Strength of Unidirectional T-300/914 Tensile Specimens Using Acoustic Emission Response

(2008) T. Sasikumar et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

Neural networks for Nyquist plots prediction during corrosion inhibition of a pipeline steel

(2008) D. Colorado-Garrido et al.   JOURNAL OF SOLID STATE ELECTROCHEMISTRY

Artificial neural network for the evaluation of CO2 corrosion in a pipeline steel

(2008) A. Bassam et al.   JOURNAL OF SOLID STATE ELECTROCHEMISTRY

Neural networks prediction of different frequencies effects on corrosion resistance obtained from pulsed nanocrystalline plasma electrolytic carburizing

(2007) M. Aliofkhazraei et al.   MATERIALS LETTERS