Computational Technologies in Materials Science
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 11)

H-INDEX

(FIVE YEARS 0)

Published By CRC Press

9781003121954

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Desirability Approach-Based Optimization of Process Parameters in Turning of Aluminum Matrix Composites

Computational Technologies in Materials Science ◽

10.1201/9781003121954-4 ◽

2021 ◽

pp. 71-100

Author(s):

P.V. Rajesh ◽

A. Saravanan

Keyword(s):

Process Parameters ◽

Aluminum Matrix ◽

Aluminum Matrix Composites ◽

Matrix Composites ◽

Optimization Of Process Parameters ◽

Desirability Approach

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Experimental Evaluation on Tribological Behavior of TiO2 Reinforced Polyamide Composites Validated by Taguchi and Machine Learning Methods

Computational Technologies in Materials Science ◽

10.1201/9781003121954-8 ◽

2021 ◽

pp. 169-191

Author(s):

S. Sathees Kumar ◽

Ch. Nithin Chakravarthy ◽

R. Muthalagu

Keyword(s):

Machine Learning ◽

Experimental Evaluation ◽

Tribological Behavior ◽

Learning Methods ◽

Machine Learning Methods

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Molecular Dynamics Simulations for Structural Characterization and Property Prediction of Materials

Computational Technologies in Materials Science ◽

10.1201/9781003121954-3 ◽

2021 ◽

pp. 49-69

Author(s):

S. K. Joshi

Keyword(s):

Molecular Dynamics ◽

Molecular Dynamics Simulations ◽

Structural Characterization ◽

Property Prediction ◽

Dynamics Simulations

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Spark Plasma-Induced Combustion Synthesis, Densification, and Characterization of Nanostructured Magnesium Silicide for Mid Temperature Energy Conversion Energy Harvesting Application

Computational Technologies in Materials Science ◽

10.1201/9781003121954-5 ◽

2021 ◽

pp. 101-123

Author(s):

P. Vivekanandhan ◽

R. Murugasami ◽

S. Kumaran

Keyword(s):

Energy Harvesting ◽

Energy Conversion ◽

Combustion Synthesis ◽

Magnesium Silicide ◽

Spark Plasma

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Predicting Compressive Strength of Concrete Matrix Using Engineered Cementitious Composites

Computational Technologies in Materials Science ◽

10.1201/9781003121954-10 ◽

2021 ◽

pp. 207-221

Author(s):

Nitisha Sharma ◽

Mohindra Singh Thakur ◽

Viola Vambol ◽

Sergij Vambol

Keyword(s):

Compressive Strength ◽

Cementitious Composites ◽

Engineered Cementitious Composites ◽

Compressive Strength Of Concrete ◽

Concrete Matrix

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Characterization Techniques for Composites using AI and Machine Learning Techniques

Computational Technologies in Materials Science ◽

10.1201/9781003121954-7 ◽

2021 ◽

pp. 139-167

Author(s):

Zeeshan Ahmad ◽

Hasan Zakir Jafri ◽

R. Hafeez Basha

Keyword(s):

Machine Learning ◽

Machine Learning Techniques ◽

Characterization Techniques ◽

Learning Techniques

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Prediction of Compressive Strength of SCC-Containing Metakaolin and Rice Husk Ash Using Machine Learning Algorithms

Computational Technologies in Materials Science ◽

10.1201/9781003121954-9 ◽

2021 ◽

pp. 193-205

Author(s):

Sejal Aggarwal ◽

Garvit Bhargava ◽

Parveen Sihag

Keyword(s):

Machine Learning ◽

Compressive Strength ◽

Rice Husk ◽

Rice Husk Ash ◽

Learning Algorithms ◽

Machine Learning Algorithms

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The Role of Computational Intelligence in Materials Science

Computational Technologies in Materials Science ◽

10.1201/9781003121954-6 ◽

2021 ◽

pp. 125-138

Author(s):

J. Ajayan ◽

Shubham Tayal ◽

Sandip Bhattacharya ◽

L. M. I. Leo Joseph

Keyword(s):

Computational Intelligence ◽

Materials Science

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Estimation of Marshall Stability of Asphalt Concrete Mix Using Neural Network and M5P Tree

Computational Technologies in Materials Science ◽

10.1201/9781003121954-11 ◽

2021 ◽

pp. 223-236

Author(s):

Ankita Upadhya ◽

Mohindra Singh Thakur ◽

Siraj Muhammed Pandhian ◽

Shubham Tayal

Keyword(s):

Neural Network ◽

Asphalt Concrete ◽

Concrete Mix ◽

Marshall Stability

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Fabrication and Characterization of Materials

Computational Technologies in Materials Science ◽

10.1201/9781003121954-1 ◽

2021 ◽

pp. 1-18

Author(s):

Laxman Raju Thoutam

Keyword(s):

Fabrication And Characterization ◽

Characterization Of Materials

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Computational Technologies in Materials ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By CRC Press

Desirability Approach-Based Optimization of Process Parameters in Turning of Aluminum Matrix Composites

Experimental Evaluation on Tribological Behavior of TiO2 Reinforced Polyamide Composites Validated by Taguchi and Machine Learning Methods

Molecular Dynamics Simulations for Structural Characterization and Property Prediction of Materials

Spark Plasma-Induced Combustion Synthesis, Densification, and Characterization of Nanostructured Magnesium Silicide for Mid Temperature Energy Conversion Energy Harvesting Application

Predicting Compressive Strength of Concrete Matrix Using Engineered Cementitious Composites

Characterization Techniques for Composites using AI and Machine Learning Techniques

Prediction of Compressive Strength of SCC-Containing Metakaolin and Rice Husk Ash Using Machine Learning Algorithms

The Role of Computational Intelligence in Materials Science

Estimation of Marshall Stability of Asphalt Concrete Mix Using Neural Network and M5P Tree

Fabrication and Characterization of Materials

Computational Technologies in Materials Science
Latest Publications