A bayesian deep learning-based approach to group contribution methods: A study on cannabinoids and terpenes-Reference-Cited by-同舟云学术

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A bayesian deep learning-based approach to group contribution methods: A study on cannabinoids and terpenes

Published:2024-08 Issue: Volume:583 Page:114116
ISSN:0378-3812
Container-title:Fluid Phase Equilibria
language:en
Short-container-title:Fluid Phase Equilibria

Author:

Lamprea Tatiana,Orozco Gustavo A.^ORCID,Hortúa Héctor J.

Funder

Departamento Administrativo de Ciencia, Tecnología e Innovación

Google

Publisher

Elsevier BV

Reference60 articles.

1. A proteomic view of cellular and molecular effects of cannabis;Abyadeh;Biomolecules,2021

2. Thermodynamics and transport properties of CBD and D9-THC: A first attempt using molecular dynamics;Salas;J. Mol. Liquids,2023

3. Relationship of thermodynamic properties to molecular structure. Heat capacities and heat contents of hydrocarbon vapors;Souders;Ind. Eng. Chem.,1949

4. Método de contribución de grupos: una herramienta fundamental en cursos avanzados de termodinámica y física de fluidos para la estimación de propiedades de sustancias;Fierro;Formación Univ.,2016

5. Estimation of pure-component properties from group-contributions;Joback;Chem. Eng. Commun.,1987

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