Adsorbate-adsorbent potential energy function from second virial coefficient data: a non-linear Hopfield Neural Network approach-Reference-Cited by-同舟云学术

Adsorbate-adsorbent potential energy function from second virial coefficient data: a non-linear Hopfield Neural Network approach

Published:2022-09 Issue:9 Volume:28 Page:
ISSN:1610-2940
Container-title:Journal of Molecular Modeling
language:en
Short-container-title:J Mol Model

Author:

Carvalho Felipe Silva,Braga João Pedro,Alves Márcio Oliveira

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Catalysis

Link

https://link.springer.com/content/pdf/10.1007/s00894-022-05274-w.pdf

Reference32 articles.

1. Moon CJ, Lee JH (2005) Use of curdlan and activated carbon composed adsorbents for heavy metal removal. Process Biochem 40:1279–1283

2. De Gisi S, Lofrano G, Grassi M, Notarnicola M (2016) Characteristics and adsorption capacities of low-cost sorbents for wastewater treatment: a review. Sustainable Mater 9:10–40

3. Jeirani Z, Niu CH, Soltan J (2017) Adsorption of emerging pollutants on activated carbon. Rev Chem Eng 33:491–522

4. Rajahmundry GK, Garlapati C, Kumar PS, Alwi RS, Vo DVN (2021) Statistical analysis of adsorption isotherm models and its appropriate selection. Chemosphere 276:130176

5. Ghosal PS, Gupta AK (2017) Development of a generalized adsorption isotherm model at solid-liquid interface: A novel approach. J Mol Liq 240:21–24

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Hopfield Neural Network Algorithm in Mathematical Modeling;2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT);2023-04-08