Alberto Hernandez

Materials Chemistry · 2020

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

• Materials Chemistry — 53 citations into it

Whom Alberto Hernandez trusts overall

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

1. J. Behler
2. A. P. Bart'ok

Papers from Alberto Hernandez's perspective

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

1. Generalized neural-network representation of high-dimensional potential-energy surfaces.
2. Comparing molecules and solids across structural and alchemical space.
3. Machine learning based interatomic potential for amorphous carbon
4. Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
5. Fast and accurate modeling of molecular atomization energies with machine learning.
6. The Elements of Statistical Learning
7. High-dimensional neural network potentials for metal surfaces: A prototype study for copper
8. On representing chemical environments
9. Computational Materials Science X
10. Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons.

Their papers

• Machine learning for interatomic potential models. (2020) — 308 citations