The Art and Science of an Analytic Potential
By D. Brenner. 2000
227 citations recorded by the source corpus.
Subfields: Physical and Theoretical Chemistry
View Paper: https://www.semanticscholar.org/paper/89753a59a1ed4a4956a5ea8017450fb64c850377
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Physical and Theoretical Chemistry
- Yuri Mishin
- I. Suarez-Martinez
- N. Marks
- C. Tomas
- A. Skoulidas
- David M. Ackerman
- David S. Sholl
- Karl Johnson
Citations in the corpus
- Machine-Learning Interatomic Potentials for Materials Science (2021, background): “The charge-optimized many-body (COMB) potentials [51], reactive bond-order (REBO) potentials [10, 52, 53], and reactive force fields (ReaxFF) [54] are most appropriate for molecular systems with chemical reactions.”
- Carbon nanostructures for advanced composites (2006, methodology): “Namilae and Chandra used a hierarchical modelling method to combine the Tersoff–Brenner potential with finite elements.”
- Graphitization of amorphous carbons: A comparative study of interatomic potentials (2016, methodology): “Instead of using chemical intuition to select a functional form (see [59] for a discussion of this philosophy), the developers of ReaxFF started with a completely general form for the potential which was parametrized against a large data set.”
- Mechanics of carbon nanotubes (2002, background): “An alternate interpretation of this formalis m can also be found in [188].”
- Mechanical properties of carbon nanotubes: theoretical predictions and experimental measurements (2003, background): “Recently, a second generation of the Brenner potential was proposed [41,42]; the potential is typically referred to as the Tersoff–Brenner potential.”
- Machine Learning a General-Purpose Interatomic Potential for Silicon (2018, background): “, avoiding a large or even qualitative error for a wide range of configurations and observables of interest [2,3].”
- Diffusivities of Ar and Ne in Carbon Nanotubes (2003, methodology): “, modeled the graphene planes and carbon nanotubes using the fully flexible Tersoff-Brenner potential [38,42,43].”