Sifan Wang - Concepedia

Author

Sifan Wang

University of Pennsylvania ORCID

Also Known As

He, Sizhuang, Sifan Wang, Wang, Sifan

Publications

11.1K

Citations

H-Index

Concepts

All Affiliations

University of Pennsylvania Applied Mathematics (United States)

About

Sifan Wang is an author at University of Pennsylvania specializing in engineering, machine learning, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	16	5.5K
2	Natural Sciences	3	3	2.5K
3	Social Sciences	2	2	1.1K
4	Public Health	1	1	199
5	Applied Physics	1	1	34

Sifan Wang

Publications

5.5K

Citations

H-Index

Page 1

	Year	Citations
Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks Sifan Wang, Yujun Teng, Paris Perdikaris SIAM Journal on Scientific Computing Numerical AnalysisActive SubscriptionEngineeringMachine LearningPhysics-informed Neural Networks	2021	1.3K
Physics-Informed Neural Networks for Heat Transfer Problems Shengze Cai, Zhicheng Wang, Sifan Wang, Journal of Heat Transfer Heat Transfer ProcessEngineeringMachine LearningDiscretization ErrorsPhysic Aware Machine Learning	2021	1K
When and why PINNs fail to train: A neural tangent kernel perspective Sifan Wang, Xinling Yu, Paris Perdikaris Journal of Computational Physics Cognitive ScienceEngineeringMachine LearningNeural MechanismPinns Fail	2021	991
Learning the solution operator of parametric partial differential equations with physics-informed DeepONets Sifan Wang, Hanwen Wang, Paris Perdikaris Science Advances EngineeringMachine LearningMachine Learning ToolRecurrent Neural NetworkParametric Pdes	2021	618
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang, Hanwen Wang, Paris Perdikaris Computer Methods in Applied Mechanics and Engineering Multi-scale PdesMachine LearningPhysicsEngineeringNatural Sciences	2021	549
Respecting causality for training physics-informed neural networks Sifan Wang, Shyam Sankaran, Paris Perdikaris Computer Methods in Applied Mechanics and Engineering Causal ModelEngineeringMachine LearningData SciencePhysic Aware Machine Learning	2024	199
Understanding and mitigating gradient pathologies in physics-informed neural networks Sifan Wang, Yujun Teng, Paris Perdikaris arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAi Foundation	2020	197
When and why PINNs fail to train: A neural tangent kernel perspective Sifan Wang, Xinling Yu, Paris Perdikaris arXiv (Cornell University) Gradient DescentEngineeringMachine LearningPinns FailNeural Recoding	2020	120
Deep learning of free boundary and Stefan problems Sifan Wang, Paris Perdikaris Journal of Computational Physics Numerical AnalysisEngineeringPde-constrained OptimizationMachine LearningFree Boundary Problem	2020	102
Long-time integration of parametric evolution equations with physics-informed DeepONets Sifan Wang, Paris Perdikaris Journal of Computational Physics Numerical AnalysisParametric Evolution EquationsEngineeringPhysicsPhysic Aware Machine Learning	2022	102

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