Yue Yu

Artificial Intelligence · with Goswami · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Yu trusts overall

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

  1. Somdatta Goswami
  2. Diederik P. Kingma

Papers from Yue Yu's perspective

Ordered by how strongly the researchers Yue Yu 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. A phase field model for rate-independent crack propagation: Robust algorithmic implementation based on operator splits
  3. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators (Nature Machine Intelligence)
  4. Thermodynamically consistent phase‐field models of fracture: Variational principles and multi‐field FE implementations
  5. Learning the solution operator of parametric partial differential equations with physics-informed DeepONets (Science Advances)
  6. A higher-order phase-field model for brittle fracture: Formulation and analysis within the isogeometric analysis framework
  7. Numerical experiments in revisited brittle fracture
  8. A method for interpolating on manifolds structural dynamics reduced‐order models
  9. Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
  10. On the well-posedness of the linear peridynamic model and its convergence towards the Navier equation of linear elasticity

Their papers