Augmenting the anisotropic network model with torsional potentials improves PATH performance, enabling detailed comparison with experimental rate data | Zendy

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Augmenting the anisotropic network model with torsional potentials improves PATH performance, enabling detailed comparison with experimental rate data

Author(s) -

Srinivas Niranj Chandrasekaran,

Charles W. Carter

Publication year - 2017

Publication title -

carolina digital repository (university of north carolina at chapel hill)

Language(s) - English

DOI - 10.17615/c7az-sd10

Subject(s) - path (computing) , anisotropy , computer science , statistical physics , physics , computer network , optics

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