Clemens Gößnitzer

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations 2020 Xiaowei Jin
Shengze Cai
Hui Li
George Em Karniadakis
2
+ Numerical solution of Fisher's equation 1974 Jenö Gazdag
José Canosa
1
+ A pseudospectral method of solution of Fisher's equation 2005 Daniel Olmos‐Liceaga
Bernie D. Shizgal
1
+ Explicit solutions of Fisher's equation for a special wave speed 1979 Mark J. Ablowitz
Anthony Zeppetella
1
+ Numerical study of Fisher's reaction–diffusion equation by the Sinc collocation method 2001 Kamel Al‐Khaled
1
+ Numerical Solution of Fisher's Equation Using a Moving Mesh Method 1998 Y. Qiu
D. M. Sloan
1
+ Numerical study of Fisher's equation by wavelet Galerkin method 2006 R.C. Mittal
Sumit Kumar
1
+ Stability of Moving Mesh Systems of Partial Differential Equations 1998 Shengtai Li
Linda Petzold
Yuhe Ren
1
+ Exact solitary waves of the Fisher equation 2005 Nikolay A. Kudryashov
1
+ Exact and explicit solitary wave solutions for the generalised fisher equation 1988 Xiao-Shuai Wang
1
+ Efficient numerical solution of Fisher's equation by using B-spline method 2010 R. C. Mittal
Geeta Arora
1
+ Comparison of the Discrete Singular Convolution and Three Other Numerical Schemes for Solving Fisher's Equation 2003 Shan Zhao
Gang Wei
1
+ PDF Chat Numerical study of Fisher's equation by a Petrov-Galerkin finite element method 1991 Shaoqiang Tang
R. O. Weber
1
+ New multiple soliton solutions to the general Burgers–Fisher equation and the Kuramoto–Sivashinsky equation 2003 Huaitang Chen
Hongqing Zhang
1
+ Numerical solutions of nonlinear Fisher's reaction–diffusion equation with modified cubic B-spline collocation method 2013 R.C. Mittal
Rakesh K. Jain
1
+ Usage of Higher Order B-splines in Numerical Solution of Fisher's Equation 2014 Aksaray Univesity
1
+ Discovering governing equations from data by sparse identification of nonlinear dynamical systems 2016 Steven L. Brunton
Joshua L. Proctor
J. Nathan Kutz
1
+ The exponential cubic B-spline algorithm for Fisher equation 2016 İdiris Dağ
Özlem Ersoy Hepson
1
+ A study of quintic B-spline based differential quadrature method for a class of semi-linear Fisher-Kolmogorov equations 2016 R.C. Mittal
Sumita Dahiya
1
+ Extended modified cubic B-spline algorithm for nonlinear Fisher’s reaction-diffusion equation 2016 H. S. Shukla
Mohammad Tamsir
1
+ Cubic trigonometric B-spline differential quadrature method for numerical treatment of Fisher’s reaction-diffusion equations 2017 Mohammad Tamsir
Neeraj Dhiman
Vineet K. Srivastava
1
+ Numerical Computation of Nonlinear Fisher’s Reaction–Diffusion Equation with Exponential Modified Cubic B-Spline Differential Quadrature Method 2017 Mohammad Tamsir
Vineet K. Srivastava
Neeraj Dhiman
Anand Chauhan
1
+ Exponential B-splines Galerkin Method for the Numerical Solution of the Fisher’s Equation 2017 Melis Zorşahin Görgülü
İdris Dağ
1
+ A collocation technique based on modified form of trigonometric cubic B-spline basis functions for Fisher’s reaction-diffusion equation 2018 Neeraj Dhiman
Mohammad Tamsir
1
+ Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data 2019 Luning Sun
Han Gao
Shaowu Pan
Jianxun Wang
1
+ PDF Chat Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks 2019 Georgios Kissas
Yibo Yang
Eileen Hwuang
Walter R. Witschey
John A. Detre
Paris Perdikaris
1
+ Numerical simulation of Fisher's type equation via a collocation technique based on re-defined quintic B-splines 2020 Neeraj Dhiman
Amit Chauhan
Mohammad Tamsir
Anand Chauhan
1
+ PDF Chat AI Feynman: A physics-inspired method for symbolic regression 2020 Silviu‐Marian Udrescu
Max Tegmark
1
+ Accelerating Physics-Informed Neural Network Training with Prior Dictionaries 2020 Wei Peng
Weien Zhou
Jun Zhang
Wen Yao
1
+ PDF Chat Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport 2020 Qizhi He
David A. Barajas‐Solano
G. Tartakovsky
Alexandre M. Tartakovsky
1
+ PDF Chat Non-invasive inference of thrombus material properties with physics-informed neural networks 2020 Minglang Yin
Xiaoning Zheng
Jay D. Humphrey
George Em Karniadakis
1
+ Physics-informed neural networks for inverse problems in nano-optics and metamaterials 2020 Yuyao Chen
Lu Lu
George Em Karniadakis
Luca Dal Negro
1
+ PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain 2020 Han Gao
Luning Sun
Jianxun Wang
1
+ PDF Chat Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equations 2022 Hamidreza Eivazi
Mojtaba Tahani
Philipp Schlatter
Ricardo Vinuesa
1
+ PDF Chat Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics 2021 Weiqi Ji
Weilun Qiu
Zhiyu Shi
Shaowu Pan
Sili Deng
1
+ PDF Chat Learning the solution operator of parametric partial differential equations with physics-informed DeepONets 2021 Sifan Wang
Hanwen Wang
Paris Perdikaris
1
+ Inverse Dirichlet weighting enables reliable training of physics informed neural networks 2021 Suryanarayana Maddu
Dominik Sturm
Christian L. Müller
Ivo F. Sbalzarini
1
+ On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks 2022 Franz M. Rohrhofer
Stefan Posch
Clemens Gößnitzer
Bernhard C. Geiger
1
+ Respecting causality is all you need for training physics-informed neural networks 2022 Sifan Wang
Shyam Sankaran
Paris Perdikaris
1
+ PDF Chat Self-adaptive loss balanced Physics-informed neural networks 2022 Zixue Xiang
Wei Peng
Xü Liu
Wen Yao
1
+ PDF Chat Learning in Sinusoidal Spaces with Physics-Informed Neural Networks 2022 Jian Cheng Wong
Chin Chun Ooi
Abhishek Gupta
Yew-Soon Ong
1
+ Characterizing possible failure modes in physics-informed neural networks 2021 Aditi S. Krishnapriyan
Amir Gholami
Shandian Zhe
Robert M. Kirby
Michael W. Mahoney
1
+ PDF Chat A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks 2022 Chenxi Wu
Min Zhu
Qinyang Tan
Yadhu Kartha
Lu Lu
1
+ PDF Chat Self-adaptive physics-informed neural networks 2022 Levi D. McClenny
Ulisses Braga-Neto
1
+ PDF Chat A metalearning approach for Physics-Informed Neural Networks (PINNs): Application to parameterized PDEs 2023 Michael Penwarden
Shandian Zhe
Akil Narayan
Robert M. Kirby
1
+ PDF Chat Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs) 2023 Hwijae Son
Sung Woong Cho
Hyung Ju Hwang
1
+ A B‐spline algorithm for the numerical solution of Fisher's equation 2008 Ali Şahin
İdris Dağ
Bülent Saka
1
+ PDF Chat Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks 2023 Franz M. Rohrhofer
Stefan Posch
Clemens Gößnitzer
Bernhard C. Geiger
1