B. Kolb

Materials Chemistry · with Guo · 2016

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 — 10 citations into it

Whom B. Kolb trusts overall

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

1. J. Behler

Papers from B. Kolb's perspective

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

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

Their papers

• Permutation invariant potential energy surfaces for polyatomic reactions using atomistic neural networks. (2016) — 51 citations