Shuo Hao

Statistical and Nonlinear Physics · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 16 citations into it

Whom Shuo Hao trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. G. Em Karniadakis (in Statistical and Nonlinear Physics)

Papers from Shuo Hao's perspective

Ordered by how strongly the researchers Shuo Hao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Automatic differentiation in machine learning: a survey
3. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
4. Understanding the difficulty of training deep feedforward neural networks
5. fPINNs: Fractional Physics-Informed Neural Networks
6. Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
7. Adaptive activation functions accelerate convergence in deep and physics-informed neural networks (Journal of Computational Physics)
8. Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
9. Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
10. DeepXDE: A Deep Learning Library for Solving Differential Equations

Their papers

• A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations (2022) — 371 citations