Machine learning techniques to probe the properties of molten salt phase change materials for thermal energy storage-Reference-Cited by-同舟云学术

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Machine learning techniques to probe the properties of molten salt phase change materials for thermal energy storage

Published:2024-07 Issue:7 Volume:5 Page:102042
ISSN:2666-3864
Container-title:Cell Reports Physical Science
language:en
Short-container-title:Cell Reports Physical Science

Author:

Tian Heqing^ORCID,Dong Wenhao,Zhang Wenguang,Guo Chaxiu

Publisher

Elsevier BV

Reference52 articles.

1. Review on concentrating solar power plants and new developments in high temperature thermal energy storage technologies;Liu;Renew. Sustain. Energy Rev.,2016

2. Thermal energy storage technologies for concentrated solar power - A review from a materials perspective;Palacios;Renew. Energy,2020

3. Phase change material-based thermal energy storage;Yang;Cell Rep. Phys. Sci.,2021

4. Nano-engineered pathways for advanced thermal energy storage systems;Alagumalai;Cell Rep. Phys. Sci.,2022

5. Advanced heat transfer fluids for direct molten salt line-focusing CSP plants;Bonk;Prog. Energy Combust.,2018

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