Qinyan Tan

Statistical and Nonlinear Physics · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qinyan Tan trusts overall

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

  1. Maizar Raissi
  2. G. Em Karniadakis
  3. Lu Lu
  4. Sifan Wang
  5. Michael L. Stein
  6. Ilya M. Sobol
  7. Rémi Bardenet
  8. Melissa E. O'Neill
  9. Paris Perdikaris
  10. Alireza Yazdani

Papers from Qinyan Tan's perspective

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

  1. fPINNs: Fractional Physics-Informed Neural Networks
  2. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  3. GENERATIVE ADVERSARIAL NETS
  4. Physics-informed neural networks for inverse problems in nano-optics and metamaterials.
  5. DeepXDE: A Deep Learning Library for Solving Differential Equations
  6. Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
  7. Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
  8. Physics-informed neural networks for high-speed flows
  9. Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism (AAAI Spring Symposium: MLPS)
  10. Large sample properties of simulations using latin hypercube sampling

Their papers