Physics-Informed Neural Network for Ultrasound Nondestructive Quantification of Surface Breaking Cracks

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

(2019) Ameya D. Jagtap et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Hidden physics models: Machine learning of nonlinear partial differential equations

(2018) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep learning of vortex-induced vibrations

(2018) Maziar Raissi et al.   JOURNAL OF FLUID MECHANICS

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

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Machine learning of linear differential equations using Gaussian processes

(2017) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Data-driven discovery of partial differential equations

(2017) Samuel H. Rudy et al.   Science Advances

Isolation of ultrasonic scattering by wavefield baseline subtraction

(2016) Alexander J. Dawson et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Human-level concept learning through probabilistic program induction

(2015) B. M. Lake et al.   SCIENCE

Lamb wave frequency–wavenumber analysis and decomposition

(2014) Zhenhua Tian et al.   JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction

(2009) Morten Nielsen et al.   BMC BIOINFORMATICS