Screening HFC/HFO and ionic liquid for absorption refrigeration at the atomic scale by the prediction model of machine learning

Screening HFC/HFO and ionic liquid for absorption refrigeration at the atomic scale by the prediction model of machine learning

Absorption refrigeration is a highly effective method for utilizing renewable energy, as it can be driven by low-grade heat sources such as industrial waste heat, solar energy, and geothermal energy. The development of new working pairs, particularly hydrofluorocarbon/hydrofluoroolefin refrigerants...

Full description

Saved in:
Bibliographic Details
Main Authors: Jianchun Chu, Maogang He, Georgios M. Kontogeorgis, Xiangyang Liu, Xiaodong Liang
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-09-01
Series:Green Chemical Engineering
Subjects:
Graph neural network
Machine learning
Ionic liquid
Absorption refrigeration
Solubility
Online Access:http://www.sciencedirect.com/science/article/pii/S2666952824000554
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items