Transferable kriging machine learning models for the multipolar electrostatics of helical deca-alanine
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Title
Transferable kriging machine learning models for the multipolar electrostatics of helical deca-alanine
Authors
Keywords
Multipole moments, QTAIM, Quantum chemical topology, Peptides, Kriging, Machine learning, Alanine, Force field, Electrostatics
Journal
THEORETICAL CHEMISTRY ACCOUNTS
Volume 134, Issue 11, Pages -
Publisher
Springer Nature
Online
2015-10-19
DOI
10.1007/s00214-015-1739-y
References
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- The importance of multipole moments when describing water and hydrated amino acid cluster geometry
- (2008) Majeed Shaik et al. MOLECULAR PHYSICS
- DL_MULTI—A molecular dynamics program to use distributed multipole electrostatic models to simulate the dynamics of organic crystals
- (2008) M. Leslie MOLECULAR PHYSICS
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