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ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
Claim

PuellaLacus/TuTraSt: TuTraSt

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Mar 2019Publisher:Zenodo
Authors: PuellaLacus;
Code repository: https://github.com/PuellaLacus/TuTraSt/tree/V.0

doi: 10.5281/zenodo.2586986

PuellaLacus/TuTraSt: TuTraSt

Abstract

TuTraSt (tunnel and transition state search algorithm) is an algorithm that analyses scalar grids (such as energy grids). It detects the values (of the energies) at which (diffusion) paths are formed, together with their direction. If a path is found, TuTaSt partitions the grid coordinates assigned to basins and transitions states. This can be used as input for kinetic Monte Carlo simulations, such as a diffusion study based on transition state theory.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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