PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction-Reference-Cited by-同舟云学术

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PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction

Published:2024-03 Issue: Volume:286 Page:119623
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Santana Vinicius Viena^ORCID,Rebello Carine Menezes^ORCID,Queiroz Luana P.^ORCID,Ribeiro Ana Mafalda^ORCID,Shardt Nadia,Nogueira Idelfonso B.R.^ORCID

Funder

Ministério da Ciência, Tecnologia e Ensino Superior

Massachusetts Institute of Technology

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference33 articles.

1. Combining group-contribution concept and graph neural networks toward interpretable molecular property models;Aouichaoui;J. Chem. Inf. Model.,2023

2. Group contribution and machine learning approaches to predict Abraham solute parameters, solvation free energy, and solvation enthalpy;Chung;J. Chem. Inf. Model.,2022

3. Hybridgamma: a thermodynamically consistent framework for hybrid modelling of activity coefficients;Di Caprio;Chem. Eng. J.,2023

4. Geometry-enhanced molecular representation learning for property prediction;Fang;Nat. Mach. Intell.,2022

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