What type of study is this?

This is a Systematic Review study.

October 10, 2025Applied SciencesOpen Access

Applications of Computational Mechanics Methods Combined with Machine Learning and Neural Networks: A Systematic Review (2015–2025)

View Full Paper

Ask AI

Bookmark

Authors

ŁPŁukasz PawlikKielce University of Technology JWJacek Łukasz Wilk-JakubowskiKielce University of Technology DFDamian FrejKielce University of Technology

Discussion

Member takes

Implication

This systematic review examines the integration of machine learning and neural networks in computational mechanics methods, highlighting their transformative impact.

Key Points

Recent advancements showcase how machine learning and neural networks are enhancing computational mechanics methods, particularly in material modeling.
The analysis reveals that complex problems in surrogate modeling and inverse analysis are being addressed using data-driven techniques.
By categorizing existing research, this review identifies specific computational mechanics tasks and the ML/NN architectures utilized.
The discussion emphasizes ongoing challenges and opportunities, underscoring the potential for significant development in multiscale modeling.

Cite This Study

Pawlik et al. (2025) studied this question.

synapsesocial.com/papers/68e861a57ef2f04ca37e4732 https://doi.org/10.3390/app151910816

View Full Paper

Ask AI

Bookmark

Implication

This systematic review examines the integration of machine learning and neural networks in computational mechanics methods, highlighting their transformative impact.

Applications of Computational Mechanics Methods Combined with Machine Learning and Neural Networks: A Systematic Review (2015–2025)

Discussion

Member takes

Implication

Key Points

Cite This Study

Applications of Computational Mechanics Methods Combined with Machine Learning and Neural Networks: A Systematic Review (2015–2025)

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider