Carlos Mera Acosta

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 Carlos Mera Acosta trusts

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

1. J. Behler (in Materials Chemistry)

Papers from Carlos Mera Acosta's perspective

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

1. I and J
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. The Elements of Statistical Learning
4. Deep Learning
5. Gradient-based learning applied to document recognition
6. Self-Consistent Equations Including Exchange and Correlation Effects
7. Inhomogeneous Electron Gas
8. ImageNet classification with deep convolutional neural networks
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Generalized Gradient Approximation Made Simple.

Their papers

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