RESEARCH PAPER · Bitlis Eren Üniversitesi Fen Bilimleri Dergisi · 2025
Inverse Prediction of the CALPHAD-Modeled Physical Properties of Superalloys Using Explainable Artificial Intelligence and Artificial Neural Networks
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Computational Study of the Effect of Aluminum Content on the Thermodynamic Properties and Phase Stabilityof Mg-Al-Zn Alloys
ADBA computer science. · 2025-07-26
Yusuf Uzunoğlu
Read original paper ↗ ·Interpretable Machine Learning and Genetic Algorithm-Based Optimization of Ultimate Tensile Strength And Melting Completion In Alloys
Advances in Materials Science · 2025-12-01
Safa Enes Turkoglu, Yusuf Uzunoğlu
Read original paper ↗ ·Specific heat and thermal conductivity variations from absolute zero to solidus temperature for standard stainless steels and aluminum alloys
Materials Research Express · 2026-04-08
Noshin Tasnim Tuli, Samik Dutta, Tuhin Mukherjee
Read original paper ↗ ·AlloyDesignClaw: Optimizing Castability and Mechanical Properties of Nickel‐Based Superalloys
Materials Genome Engineering Advances · 2026-07-04
J J Ma, Songyang Chen, Rui Feng, Xin Hao, Hang Zheng, Chushan Yi, Qingbiao Tan, Guoliang Zhu
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