K. A. Nicoli
2018
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from K. A. Nicoli's perspective
Ordered by how strongly the researchers K. A. Nicoli trusts endorse each paper. Same corpus, a different order for every researcher.
- I and J
- Generalized neural-network representation of high-dimensional potential-energy surfaces.
- Machine learning based interatomic potential for amorphous carbon
- Comparing molecules and solids across structural and alchemical space.
- A Chemist's Guide to Density Functional Theory
- The journal of physical chemistry letters
- Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
- Deep Learning
- Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.
- GROMACS: Fast, flexible, and free
Their papers
- SchNetPack: A Deep Learning Toolbox For Atomistic Systems. (2018) — 389 citations