Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions

Physics-informed neural networks (PINNs) for fluid mechanics: a review

(2022) Shengze Cai et al.   ACTA MECHANICA SINICA

Physics-Informed Neural Networks for Heat Transfer Problems

(2021) Shengze Cai et al.   JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

(2021) Ehsan Haghighat et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A general approach to seismic inversion with automatic differentiation

(2021) Weiqiang Zhu et al.   COMPUTERS & GEOSCIENCES

Parallel physics-informed neural networks via domain decomposition

(2021) Khemraj Shukla et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

(2020) A. M. Tartakovsky et al.   WATER RESOURCES RESEARCH

Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems

(2020) Ameya D. Jagtap et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

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

(2020) Khemraj Shukla et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks

(2020) Ameya D. Jagtap et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

(2020) S. Mostafa Mousavi et al.   Nature Communications

Detectability of Melt‐Rich Lenses in Magmatic Reservoirs From Teleseismic Waveform Modeling

(2020) Majid Rasht‐Behesht et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

(2020) Liu Yang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

(2020) Xiaowei Jin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

EikoNet: Solving the Eikonal Equation With Deep Neural Networks

(2020) Jonathan D. Smith et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Machine learning for data-driven discovery in solid Earth geoscience

(2019) Karianne J. Bergen et al.   SCIENCE

Seismic Signal Denoising and Decomposition Using Deep Neural Networks

(2019) Weiqiang Zhu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

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

Physics-informed neural networks for high-speed flows

(2019) Zhiping Mao et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

(2018) Jin-Long Wu et al.   Physical Review Fluids

Generalized Seismic Phase Detection with Deep Learning

(2018) Zachary E. Ross et al.   BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA

Machine Learning in Seismology: Turning Data into Insights

(2018) Qingkai Kong et al.   SEISMOLOGICAL RESEARCH LETTERS

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

Global adjoint tomography: first-generation model

(2016) Ebru Bozdağ et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications

(2015) Rowan Cockett et al.   COMPUTERS & GEOSCIENCES

Earthquake detection through computationally efficient similarity search

(2015) C. E. Yoon et al.   Science Advances

Resolution analysis in full waveform inversion

(2011) Andreas Fichtner et al.   GEOPHYSICAL JOURNAL INTERNATIONAL