Gabriel Ravanhani Schleder

Materials Chemistry · 2019

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

• Materials Chemistry — 164 citations into it

Whom Gabriel Ravanhani Schleder trusts overall

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

1. J. Behler
2. Liang Fu
3. A. P. Bart'ok
4. J. Perdew
5. Axel D. Becke
6. Stefan Grimme
7. Nongnuch Artrith
8. C. L. Kane
9. Logan T. Ward
10. Kieron Burke

Who trusts Gabriel Ravanhani Schleder overall

1. Tânia F Cova
2. Michael te Vrugt
3. A. Pais
4. Hartmut Löwen

Papers from Gabriel Ravanhani Schleder's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. I and J
5. Attention is All you Need (Neural Information Processing Systems)
6. Deep Learning
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• From DFT to machine learning: recent approaches to materials science–a review (2019) — 781 citations