Работы, цитирующие эту работу

Работ: 2

Работа: Numerical investigation of thermal energy storage in wavy enclosures with nanoencapsulated phase change materials using deep learning

1. Optimization and prediction of heat absorption in a modular multi-section latent heat storage system with dome-shaped components using a multilayer perceptron model, TOPSIS analysis, and Pareto fronts

   Wenliang Deng, Jialing Li, Sarminah Samad +7

   СтатьяPhase Change Materials ResearchJournal of Energy Storage2025Цитирований: 3

   ABIABI:AkademIndex/openalex/2025.article.000318

2. Triangular-rib structural mastery for enhanced latent heat storage system: Artificial neural network optimization of geometry, orientation, and cost-effectiveness

   Jun-bo Mao, Ali Basem, Hyder H. Abed Balla +7

   СтатьяPhase Change Materials ResearchJournal of Energy Storage2026Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.article.000057