Adalberto Fazzio

Materials Chemistry · 2000–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 164 citations into it

Whom Adalberto Fazzio trusts

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

1. J. Behler (in Materials Chemistry)

Papers from Adalberto Fazzio's perspective

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

1. I and J
2. Self-Consistent Equations Including Exchange and Correlation Effects
3. The Elements of Statistical Learning
4. Inhomogeneous Electron Gas
5. Generalized Gradient Approximation Made Simple.
6. Generalized neural-network representation of high-dimensional potential-energy surfaces.
7. Deep Learning
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Pattern Recognition and Machine Learning

Their papers

• From DFT to machine learning: recent approaches to materials science–a review (2019) — 781 citations
• Theoretical study of native defects in BN nanotubes (2003) — 135 citations
• Ab initio calculations for a hypothetical material: Silicon nanotubes (2000) — 207 citations