EDITORIAL
Published on 28 Feb 2020
Editorial: Machine Learning and Data Mining in Materials Science
doi 10.3389/fmats.2020.00051
- 8,122 views
- 20 citations
- Frontiers in Materials
- Computational Materials Science
- Research Topics
- Machine Learning and Data Mining in Materials Science
Machine Learning and Data Mining in Materials Science
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Articles
ORIGINAL RESEARCH
Published on 18 Dec 2019
Computation of Thickness and Mechanical Properties of Interconnected Structures: Accuracy, Deviations, and Approaches for Correction
doi 10.3389/fmats.2019.00327
- 2,873 views
- 16 citations
ORIGINAL RESEARCH
Published on 13 Aug 2019
Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations
doi 10.3389/fmats.2019.00181
- 11,020 views
- 51 citations
ORIGINAL RESEARCH
Published on 16 Jul 2019
Machine-Learning Informed Representations for Grain Boundary Structures
doi 10.3389/fmats.2019.00168
- 5,999 views
- 30 citations
ORIGINAL RESEARCH
Published on 25 Jun 2019
Machine Learning Techniques for the Segmentation of Tomographic Image Data of Functional Materials
doi 10.3389/fmats.2019.00145
- 15,793 views
- 74 citations
ORIGINAL RESEARCH
Published on 18 Jun 2019
Machine Learning-Based Classification of Dislocation Microstructures
doi 10.3389/fmats.2019.00141
- 3,904 views
- 39 citations
ORIGINAL RESEARCH
Published on 13 Jun 2019
A Bayesian Framework for the Estimation of the Single Crystal Elastic Parameters From Spherical Indentation Stress-Strain Measurements
doi 10.3389/fmats.2019.00136
- 2,651 views
- 35 citations
ORIGINAL RESEARCH
Published on 31 May 2019
A Simple Approach to Atomic Structure Characterization for Machine Learning of Grain Boundary Structure-Property Models
doi 10.3389/fmats.2019.00120
- 4,625 views
- 10 citations
REVIEW
Published on 15 May 2019
A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
doi 10.3389/fmats.2019.00110
- 45,164 views
- 288 citations
ORIGINAL RESEARCH
Published on 08 May 2019
Hierarchical Machine Learning Model for Mechanical Property Predictions of Polyurethane Elastomers From Small Datasets
doi 10.3389/fmats.2019.00087
- 9,335 views
- 25 citations
ORIGINAL RESEARCH
Published on 03 May 2019
On-the-Fly Adaptivity for Nonlinear Twoscale Simulations Using Artificial Neural Networks and Reduced Order Modeling
doi 10.3389/fmats.2019.00075
- 2,962 views
- 55 citations
REVIEW
Published on 24 Apr 2019
Experiment Design Frameworks for Accelerated Discovery of Targeted Materials Across Scales
doi 10.3389/fmats.2019.00082
- 4,868 views
- 23 citations
Published in
Frontiers in Materials
- Computational Materials Science
Impact
- 173kTopic views
- 133kArticle views
- 33kArticle downloads