Published Simultaneously in Coordination Chemistry Reviews (IF 24.6) and Small (IF 13.3)

Synthesis of High-Entropy Alloy Nanoparticles and Machine Learning-Based Property Prediction

Potential Applications in Defense, Aerospace, and Next-Generation Energy Industries

[September 2, 2025]

<From left, Prof. PARK Noh-geun (School of Materials Science and Engineering), Prof. Wael Aljobi>

 Yeungnam University (YU, President CHOI Oe-chool) Professor PARK Noh-geun and his research team at the School of Materials Science and Engineering have successfully realized high-entropy alloys (HEAs) at the nanoscale and established a new research framework that integrates machine learning techniques to predict their properties. The team’s groundbreaking results were published simultaneously in two internationally renowned journals—Coordination Chemistry Reviews (Impact Factor 24.6) and Small (Impact Factor 13.3)—underscoring YU’s world-class research capabilities.

Professor PARK has been at the forefront of HEA research, having published the first SCIE-indexed paper in the field in Korea more than a decade ago. Since then, he has authored over 100 papers, with many appearing in top-tier journals within the top 10% of the JCR rankings, earning global recognition for his research excellence. 

Recently, his work has expanded into the field of superalloys (nickel-based super-heat-resistant alloys), key materials for defense and aerospace engine components. By combining nanoscale quantitative analysis with AI-driven data methodologies, Professor PARK has established an advanced research approach. The two recently published papers are an extension of this trajectory, further enhancing the potential for applications across national strategic industries, including defense, aerospace, and next-generation energy.

Professor PARK remarked, “With the spirit of On-go-ji-shin (learning new things by reviewing the old), I have broadened my research scope by merging the knowledge accumulated in Korea’s traditional steel and automotive parts industries with AI and machine learning technologies. This serves as a bridge connecting conventional metal industries with the emerging frontier of advanced materials.” He added, “Through AI-based data interpretation and optimized process design, I aim not only to revitalize traditional materials industries in Gyeongsangbuk-do but also to contribute to the advancement of the defense and next-generation energy sectors.”

 Beyond academic contributions, Professor PARK is also actively transferring research outcomes to the industrial ecosystem. He serves as director of the Intelligent Advanced Materials Human Resource Development Project for “Legend 50+ Enterprises,” designated by the Ministry of SMEs and Startups and Gyeongbuk Technopark. Through this initiative, he supports R&D, validation, and workforce training while fostering industry–university cooperation with companies across Yeongcheon, Yeongju, Gyeongsan, Gyeongju, Pohang, and Gumi. His efforts are strengthening AI-driven talent pipelines, supporting student employment, and revitalizing regional communities.