Predicting activity coefficients at infinite dilution of polymer solutions 
using Graph Neural Networks

Sanchez Medina, Edgar Ivan; Kunchapu, Sreekanth; Sundmacher, Kai

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Predicting activity coefficients at infinite dilution of polymer solutions using Graph Neural Networks

Sanchez Medina, E. I., Kunchapu, S., & Sundmacher, K. (2023). Predicting activity coefficients at infinite dilution of polymer solutions using Graph Neural Networks. Talk presented at WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERING. Buenos Aires, Argentina. 2023-06-04 - 2023-06-08.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-C9A1-A Version Permalink: https://hdl.handle.net/21.11116/0000-000D-C9A2-9

Genre: Talk

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Creators:
Sanchez Medina, Edgar Ivan^{1, 2}, Author
Kunchapu, Sreekanth , Author
Sundmacher, Kai^{2, 3}, Author

Affiliations:
1International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156
3Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151

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Language(s): eng - English

Dates: Created: 2023

Publication Status: Not specified

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Rev. Type: Peer

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Title: WCCE11 - 11th WORLD CONGRESS OF CHEMICAL ENGINEERING

Place of Event: Buenos Aires, Argentina

Start-/End Date: 2023-06-04 - 2023-06-08

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