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Updated: Jun 7, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

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基于COSMO-RS和机器学习,预测CO2和N2在离子液中的溶解度

Hongling Qin1,2, Ke Wang2,3, Xifei Ma2,4

  • 1Energy Engineering, Division of Energy Science, Luleå University of Technology, Luleå, Sweden.

Frontiers in chemistry
|November 15, 2024
PubMed
概括

预测气体在离子液体 (ILs) 中的溶解度至关重要. 将真实溶剂的导体样选模型 (COSMO-RS) 与机器学习相结合,可以显著改善ILs中的CO2和N2可溶性预测.

关键词:
二氧化碳的可溶性在COSMO-RS的基础上,N2 溶解度 溶解度 在 N2 中.离子液体是一种离子液体.机器学习是机器学习.

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Physical Properties Affecting Solubility

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