Data-driven computational mechanics
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2016/06/01
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Indian UGC (journal)
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Refrences11
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Citations403
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T. Kirchdoerfer
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M. Ortiz
Journal Categories
Science
Mathematics
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Mechanics of engineering
Applied mechanics
Technology
Mechanical engineering and machinery
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system | Acta Materialia |
| 144 | 2015 |
| Data science and cyberinfrastructure: critical enablers for accelerated development of hierarchical materials | International Materials Reviews |
| 2015 | |
Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research | Information Systems Research |
| 301 | 2014 |
Stalking the Materials Genome: A Data‐Driven Approach to the Virtual Design of Nanostructured Polymers | Advanced Functional Materials |
| 54 | 2013 |
| Microstructure informatics using higher-order statistics and efficient data-mining protocols | JOM |
| 112 | 2011 |
Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials 9
is the most frequently represented among the references in this article. It primarily includes studies from Materials Today and Physical Review Letters. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Machine Learning‐Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators | Advanced Materials Technologies |
| 2024 | |
Data‐driven model‐free modified nodal analysis circuit solver | International Journal of Numerical Modelling: Electronic Networks, Devices and Fields |
| 2024 | |
NN‐mCRE: A modified constitutive relation error framework for unsupervised learning of nonlinear state laws with physics‐augmented neural networks | International Journal for Numerical Methods in Engineering |
| 2 | 2024 |
Review of multi‐scale mechanical behavior research on composite solid propellants based on data‐driven approach | Propellants, Explosives, Pyrotechnics |
| 2024 | |
| Wear prediction model of hot rolling backup roll based on FEM + ML algorithm | The International Journal of Advanced Manufacturing Technology |
| 2024 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 240
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity and was published in 2016. The most recent citation comes from a 2024 study titled Dynamically configured physics-informed neural network in topology optimization applications. This article reached its peak citation in 2023, with 99 citations. It has been cited in 132 different journals, 18% of which are open access. Among related journals, the Computer Methods in Applied Mechanics and Engineering cited this research the most, with 90 citations. The chart below illustrates the annual citation trends for this article.