Concepedia

Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios

Xu Chen, Ba Trung Cao, Yong Yuan, Günther Meschke

Computer Methods in Applied Mechanics and Engineering · 2022 · 225 citations · 82 references

References

82

A Survey on Transfer Learning

Sinno Jialin Pan, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2009 · 23.2K citations

Computing, Computer Science, Data Mining +12

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Proceedings of the 24th international conference on Machine learning

2007 · 11.7K citations

Computing, Computer Science, Artificial Intelligence +6

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Nature Machine Intelligence · 2021 · 2.8K citations · Full text

Computing, Computer Science, Mathematics +10

Machine Learning for Fluid Mechanics

Annual Review of Fluid Mechanics · 2019 · 2.6K citations · Full text

Computing, Computer Science, Mechanical Engineering +8