Fluxionality of Catalytic Clusters: When It Matters and How to Address It

By Huanchen Zhai, A. Alexandrova. 2017

178 citations recorded by the source corpus.

Subfields: Materials Chemistry, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/36d21d2d59722e91b4fbe06bac463e59be57858e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. J. Esterhuizen
2. Christopher Sutton
3. Christopher J. Bartel
4. Jin-Xun Liu
5. Bryan R. Goldsmith

In Renewable Energy, Sustainability and the Environment

1. J. Esterhuizen
2. Christopher Sutton
3. Christopher J. Bartel
4. Jin-Xun Liu
5. Bryan R. Goldsmith

Citations in the corpus

• Machine learning for heterogeneous catalyst design and discovery (2018, background): “84 85–90 Fast and predictive reactive MLPs would be indispensable for simulating challenging systems such as catalysis at liquid/ solid interfaces, for which a detailed solvent description is required (e.g., solvent can participate directly in reactions and modify the surface coverage of…”