Artificial neural network prediction of self-diffusion in pure compounds over multiple phase regimes-Reference-Cited by-同舟云学术

Artificial neural network prediction of self-diffusion in pure compounds over multiple phase regimes

Published:2021 Issue:8 Volume:23 Page:4615-4623
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Allers Joshua P.¹²³⁴^ORCID,Garzon Fernando H.⁵²³⁴⁶^ORCID,Alam Todd M.¹²³⁴^ORCID

Affiliation:

1. Department of Organic Materials Science

2. Sandia National Laboratories

3. Albuquerque

4. USA

5. Advanced Materials Laboratory

6. Center of Micro-Engineered Materials

Abstract

Artificial neural networks (ANNs) were developed to accurately predict the self-diffusion constants for pure components in liquid, gas and super critical phases.

Funder

U.S. Department of Energy

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2021/CP/D0CP06693A

Reference47 articles.

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