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Design of continuous structures using physics informed neural networks

https://doi.org/10.2139/ssrn.5412924
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ad.1564openalex-snapshot
Linking Structure and Parametric Geometry
inferredcites →https://doi.org/10.1007/s00366-022-01760-0openalex-snapshot
Physics-informed neural energy-force network: a unified solver-free numerical simulation for structural optimization
inferredcites →https://doi.org/10.1016/j.jcp.2018.10.045openalex-snapshot
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
inferredcites →https://doi.org/10.1038/s41598-023-28763-1openalex-snapshot
Machine learning enabled orthogonal camera goniometry for accurate and robust contact angle measurements
inferredcites →https://doi.org/10.1038/s42254-021-00314-5openalex-snapshot
Physics-informed machine learning
inferredcites →https://doi.org/10.1061/(asce)st.1943-541x.0003421openalex-snapshot
Machine Learning for Enhanced Regional Seismic Risk Assessments
inferredcites →https://doi.org/10.1109/bigdata.2018.8621955openalex-snapshot
Incorporating Prior Domain Knowledge into Deep Neural Networks
inferredcites →https://doi.org/10.1109/tkde.2017.2720168openalex-snapshot
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
inferredcites →https://doi.org/10.1111/mice.12944openalex-snapshot
Elastic structural analysis based on graph neural network without labeled data
inferredcites →https://doi.org/10.1111/mice.12965openalex-snapshot
A knowledge transfer enhanced ensemble approach to predict the shear capacity of reinforced concrete deep beams without stirrups
inferredcites →https://doi.org/10.1126/sciadv.abk0644openalex-snapshot
Analyses of internal structures and defects in materials using physics-informed neural networks
inferredcites →https://doi.org/10.1177/20414196211073501openalex-snapshot
Physics-informed regularisation procedure in neural networks: An application in blast protection engineering
inferredcites →https://doi.org/10.2139/ssrn.4086448openalex-snapshot
Self-Adaptive Physics-Informed Neural Networks
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