Wenjie Yao

Statistical and Nonlinear Physics · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wenjie Yao trusts overall

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

  1. G. Em Karniadakis
  2. Ole Sigmund
  3. Lu Lu
  4. Dimitri P. Bertsekas
  5. Joseph W. Goodman
  6. Jorge Nocedal
  7. James K. Guest

Who trusts Wenjie Yao overall

  1. Lu Lu

Papers from Wenjie Yao's perspective

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

  1. fPINNs: Fractional Physics-Informed Neural Networks
  2. A Limited Memory Algorithm for Bound Constrained Optimization
  3. DeepXDE: A Deep Learning Library for Solving Differential Equations
  4. Numerical optimization
  5. Physics-Informed Neural Networks for Cardiac Activation Mapping
  6. Topology optimization for nano‐photonics
  7. Spectral/hp Element Methods for Computational Fluid Dynamics
  8. Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
  9. Filters in topology optimization based on Helmholtz‐type differential equations
  10. Physics-informed neural networks for inverse problems in nano-optics and metamaterials.

Their papers