Sathiyalingam Kannaiyan

Mr. Sathiyalingam Kannaiyan

Research Scholar,National Taiwan University of Science and Technology
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 July 2025 in Materials Chemistry and Physics
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Journal Article
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MMMatoke Peter Mose
Matoke Peter Mose
Sathiyalingam KannaiyanSathiyalingam Kannaiyan
Sathiyalingam Kannaiyan
Song-Jeng HuangSong-Jeng Huang
Song-Jeng Huang

Verified
Journal Article
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PDF file
Song-Jeng HuangSong-Jeng Huang
Song-Jeng Huang
MMMatoke Peter Mose
Matoke Peter Mose
Sathiyalingam KannaiyanSathiyalingam Kannaiyan
Sathiyalingam Kannaiyan
The use of Mg-based compounds in solid-state hydrogen energy storage has a very high prospect due to its high potential, low-cost, and ease of availability. Today, solid-state hydrogen storage science is concerned with understanding the material behavior of different compositions and structure when interacting with hydrogen. Finding a suitable material has remained an elusive idea, and therefore, this review summarizes works by various groups, the milestones they have achieved, and the roadmap to be taken on the study of hydrogen storage using low-cost magnesium composites. Mg-based compounds are further examined from the perspective of artificial intelligence studies, which helps to improve prediction of their properties and hydrogen storage performance. There exist several techniques to improve the performance of Mg-based compounds: microstructure modification, use of catalytic additives, and composition regulation. Microstructure modification is usually achieved by employing different synthetic techniques like severe plastic deformation, high energy ball milling, and cold rolling, among others. These synthetic approaches are discussed herein. In this review, a discussion of key parameters and operating conditions are highlighted in a view to finding high storage capacity and faster kinetics. Furthermore, recent approaches like machine learning have found application in guiding the experimental design. Hence, this review paper also explores how machine learning techniques have been utilized to fasten the materials research. It is however noted that this study is not exhaustive in itself.

21 September 2024 in Archives of Civil and Mechanical Engineering
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Song-Jeng HuangSong-Jeng Huang
Song-Jeng Huang
Yudhistira AdityawardhanaYudhistira Adityawardhana
Yudhistira Adityawardhana
Sathiyalingam KannaiyanSathiyalingam Kannaiyan
Sathiyalingam Kannaiyan

1 August 2021 in Microchemical Journal
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Journal Article
Closed access
Song-Jeng HuangSong-Jeng Huang
Song-Jeng Huang
Sathiyalingam KannaiyanSathiyalingam Kannaiyan
Sathiyalingam Kannaiyan
KVKrishnan Venkatesh
Krishnan Venkatesh
SCSrikanth Cheemalapati
Srikanth Cheemalapati
AHAhmed S. Haidyrah
Ahmed S. Haidyrah
Chelladurai KaruppiahChelladurai Karuppiah
Chelladurai Karuppiah

18 February 2026 in Renewable and Sustainable Energy Reviews
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Journal Article
Closed access
DADawit Andualem Asrate
Dawit Andualem Asrate
Song-Jeng HuangSong-Jeng Huang
Song-Jeng Huang
Sathiyalingam KannaiyanSathiyalingam Kannaiyan
Sathiyalingam Kannaiyan

Verified
Journal Article
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PDF file
AMAjith Kuriakose Mani
Ajith Kuriakose Mani
AMAju Zachariah Mani
Aju Zachariah Mani
AJAbin Jacob
Abin Jacob
AKAnantha Krishnan
Anantha Krishnan
APAlen Shibu Paul
Alen Shibu Paul
Song-Jeng HuangSong-Jeng Huang
Song-Jeng Huang
The pressing issue of global warming has prompted industries to seek sustainable and renewable materials that can reduce the use of petroleum-based products. Natural fibers, as bio-based and environmentally friendly materials, offer a promising solution. In this study, ramie fiber, which is one of the strongest natural fibers, is used as reinforcement, and the mechanical properties of natural rubber composites are evaluated. The composites were fabricated using a vulcanizing technique at 150 °C, and the fibers were cut into different lengths (5 mm, 10 m, and 15 mm) and weights (15 g, 30 g, and 60 g). Mechanical performance tests, including tensile and tear strength and hardness, were conducted. The results showed that as fiber concentration increased, so did the curing time. Moreover, the composites with higher fiber concentration had higher strength. The composite with a 10 mm fiber length and 60 g weight showed the highest tensile strength (10.35 MPa). Maximum tear strength (52.51 kN/m) was achieved with 5 mm fiber length and 60 g weight. Hardness values reached up to 88 Shore A (10 mm fiber length and 60 g weight), indicating excellent wear resistance. The specimen with the highest tensile strength was subjected to scanning electron microscope analysis. The SEM analysis revealed that the composite had a ductile type of fracture with appreciable plastic deformation, confirming good fiber–matrix interaction. These findings underscore the potential of ramie fiber–reinforced natural rubber composites as sustainable, high-performance alternatives to petroleum-based materials in structural and vibration-damping applications.