K. Jose

Materials Chemistry · 2012

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

Subfields

• Materials Chemistry — 17 citations into it; #9,494 of 11,513 by trust here, #9,927 by citations

Whom K. Jose trusts overall

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

1. J. Behler
2. Sergei Manzhos

Who trusts K. Jose overall

1. J. Behler

Papers from K. Jose's perspective

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

1. Generalized neural-network representation of high-dimensional potential-energy surfaces.
2. and s
3. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.
4. GROMACS: Fast, flexible, and free
5. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu.
6. Water: From Clusters to the Bulk. (Angewandte Chemie)
7. Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
8. Pattern Recognition and Neural Networks
9. A Chemist's Guide to Density Functional Theory
10. Accuracy and transferability of Gaussian approximation potential models for tungsten

Their papers

• Construction of high-dimensional neural network potentials using environment-dependent atom pairs. (2012) — 126 citations