Optimization of the Thermal Performance of Na2HPO4·12H2O-Based Gel Phase Change Materials in Solar Greenhouses Using Machine Learning.

Gels · 2025 · PMC12470182 · PMID 41002517

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highly significantno p-value reported

A factor was considered to have a highly significant (HS) effect when its p -value was less than 0.05, whereas a p -value greater than 0.05 but less than 0.1 indicates a significant (S) effect. 4.3.2.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.

Optimization of the Thermal Performance of Na&lt;sub&gt;2&lt;/sub&gt;HPO&lt;sub&gt;4&lt;/sub&gt;·12H&lt;sub&gt;2&lt;/sub&gt;O-Based Gel Phase Change Materials in Solar Greenhouses Using Machine Learning.

The sentences

Optimization of the Thermal Performance of Na<sub>2</sub>HPO<sub>4</sub>·12H<sub>2</sub>O-Based Gel Phase Change Materials in Solar Greenhouses Using Machine Learning.