Bin Zhao

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 Bin Zhao trusts overall

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

1. J. Behler

Papers from Bin Zhao's perspective

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

1. GROMACS: Fast, flexible, and free
2. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.
3. Generalized neural-network representation of high-dimensional potential-energy surfaces.
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. Accuracy and transferability of Gaussian approximation potential models for tungsten
7. Understanding molecular simulation : from algorithms to applications. 2nd ed.
8. Modelling (Handbook of Constraint Programming)
9. Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
10. Computational Materials Science X

Their papers

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