Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks

7 May 2020

Papers citing "Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks"

8 / 8 papers shown

Title
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning Y. Wang Gu-Yeon Wei David Brooks ELM VLM 57 274 0 24 Jul 2019
Deep Learning of Vortex Induced Vibrations M. Raissi Zhicheng Wang M. Triantafyllou George Karniadakis AI4CE 58 376 0 26 Aug 2018
Statistical inference on random dot product graphs: a survey A. Athreya D. E. Fishkind Keith D. Levin V. Lyzinski Youngser Park Yichen Qin D. Sussman M. Tang Joshua T. Vogelstein Carey E. Priebe 125 249 0 16 Sep 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 67 1,137 0 02 Aug 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 120 3,675 0 08 Jun 2017
Machine Learning of Linear Differential Equations using Gaussian Processes M. Raissi George Karniadakis 77 550 0 10 Jan 2017
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 154 2,796 0 20 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014