Ушбу ишга иқтибос қилган ишлар

3 та иш

Иш: Charging/discharging performance examination in a finned-tube heat storage tank: Based on artificial neural network, pareto optimization, and numerical simulation

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

   МақолаPhase Change Materials ResearchJournal of Energy Storage20253 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000318

2. Improving energy absorption capacity in a thermal energy storage system for domestic heating applications using an integrated machine learning/numerical approach

   Xianzhi Tang, Xin Sun, Sinan Q. Salih +7

   МақолаPhase Change Materials ResearchApplied Thermal Engineering20251 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.001117

3. Base-integrated thermal storage system: Enhancing phase change material melting performance through geometric innovation and artificial neural network-genetic algorithm optimization

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

   МақолаPhase Change Materials ResearchInternational Communications in Heat and Mass Transfer20260 иқтибос

   ABIABI:AkademIndex/openalex/2026.article.008757