Vien Minh Nguyen-Thanh

2019–2020

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

Whom Vien Minh Nguyen-Thanh trusts overall

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

  1. Maizar Raissi
  2. Vinh Phu Nguyen
  3. Ted Belytschko
  4. E. Weinan

Who trusts Vien Minh Nguyen-Thanh overall

  1. Xiaoying Zhuang
  2. S. Niaki
  3. Hongwei Guo
  4. Ehsan Haghighat

Papers from Vien Minh Nguyen-Thanh's perspective

Ordered by how strongly the researchers Vien Minh Nguyen-Thanh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Understanding the difficulty of training deep feedforward neural networks
  2. Deep Learning
  3. A phase field model for rate-independent crack propagation: Robust algorithmic implementation based on operator splits
  4. ImageNet classification with deep convolutional neural networks
  5. Numerical experiments in revisited brittle fracture
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A unified deep artificial neural network approach to partial differential equations in complex geometries
  8. The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems
  9. Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  10. Thermodynamically consistent phase‐field models of fracture: Variational principles and multi‐field FE implementations

Their papers