Conformal Coordinates for Molecular Geometry: From 3D to 5D

This paper introduces the conformal model (an extension of the homogeneous coordinate system) for molecular geometry, where 3D space is represented within <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow> <mml:msup><mml:mrow><mml:mi>ℝ</mml:mi></mml:mrow> <mml:mrow><mml:mn>5</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {\mathbb{R}}^5 $$</mml:annotation></mml:semantics> </mml:math> with an inner product different from the usual one. This model enables efficient computation of interatomic distances using what we call the Conformal Coordinate Matrix (C-matrix). The C-matrix not only simplifies the mathematical framework but also reduces the number of operations required for distance calculations compared to traditional methods.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2026-02-03
DOI
https://doi.org/10.1002/jcc.70256
Primary Topic
Crystallography and molecular interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Conformal Coordinates for Molecular Geometry: From 3D to 5D

Jesus Camargo, Carlile Lavor, Michael Ferreira de Souza
Journal of Computational Chemistry
Crystallography and molecular interactions
article

Conformal Coordinates for Molecular Geometry: From 3D to 5D

Jesus Camargo, Carlile Lavor, Michael Ferreira de Souza
article en

Abstract

This paper introduces the conformal model (an extension of the homogeneous coordinate system) for molecular geometry, where 3D space is represented within <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow> <mml:msup><mml:mrow><mml:mi>ℝ</mml:mi></mml:mrow> <mml:mrow><mml:mn>5</mml:mn></mml:mrow> </mml:msup> </mml:mrow> <mml:annotation>$$ {\mathbb{R}}^5 $$</mml:annotation></mml:semantics> </mml:math> with an inner product different from the usual one. This model enables efficient computation of interatomic distances using what we call the Conformal Coordinate Matrix (C-matrix). The C-matrix not only simplifies the mathematical framework but also reduces the number of operations required for distance calculations compared to traditional methods.

Journal of Computational ChemistryVol. 47(4)
Universidade Estadual de Campinas (UNICAMP) (BR), Universidade Estadual do Oeste do Paraná (BR), Universidade Federal do Ceará (BR), Universidade Estadual do Paraná (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 68%
Crystallography and molecular interactions
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