Concepedia

Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading

Michal Bartošák, Jiří Halamka, Libor Beránek, Martina Koukolíková, Michal Slaný, Marek Pagáč, Ján Džugan

International Journal of Fatigue · 2024 · 11 citations · 62 references

References

62

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

Annual Book of ASTM Standards 2003

L. Riyanto · 2003 · 5.3K citations

Education, Quality Management, Documentation +13

Evolving artificial neural networks

Xin Yao · Proceedings of the IEEE · 1999 · 3K citations

Computing, Computer Science, Artificial Intelligence +9

Additively manufactured hierarchical stainless steels with high strength and ductility

Thomas Voisin, Joseph T. McKeown, Jianchao Ye et al. · Nature Materials · 2017 · 2.5K citations · Full text

Natural Sciences, Materials Engineering, Materials Science +14

A Stress-Strain Function for the Fatigue of Metals

KN Smith · Journal: Materials · 1970 · 1.7K citations

Natural Sciences, Materials Engineering, Materials Science +12