Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning

Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations

Computing, Computer Science, Mathematics +10

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

Convective Transport in Nanofluids

Jacopo Buongiorno · Journal of Heat Transfer · 2005 · 6.9K citations

Engineering, Mechanical Engineering, Physics +17

On the approximate realization of continuous mappings by neural networks

Ken-ichi Funahashi · Neural Networks · 1989 · 4.2K citations

Computing, Computer Science, Mathematics +13

Factorial Sampling Plans for Preliminary Computational Experiments

Max D. Morris · Technometrics · 1991 · 3.9K citations

Public Health, Computer Science, Mathematics +8