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4 та иш

Иш: Optimizing and investigating the charging time of phase change materials in a compact-latent heat storage using pareto front analysis, artificial neural networks, and numerical simulations

  1. Optimizing novel thermal energy storage systems: Enhancing melting efficiency with tubes, stands, and advanced machine learning techniques

    Ahmad Almadhor, Ali Basem, Pradeep Kumar Singh +7

    МақолаPhase Change Materials ResearchJournal of Energy Storage20255 иқтибос
    ABI

  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
    ABI

  3. 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

    МақолаPhase Change Materials ResearchJournal of Energy Storage20261 иқтибос
    ABI

  4. 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
    ABI