Dr Riyajul Islam | Computational Materials Science | Best Researcher Award

Dr Riyajul Islam | Computational Materials Science | Best Researcher Award

Dr. Riyajul Islam is a dedicated computational materials scientist specializing in magnetism, electronic structure modeling, and permanent magnet applications. He earned his Ph.D. in Physics from the National Institute of Technology Nagaland (2022) and is currently a Postdoctoral Fellow at Aarhus University, Denmark ๐Ÿ‡ฉ๐Ÿ‡ฐ (2022-2024). His research focuses on Density Functional Theory (DFT) ๐Ÿ–ฅ๏ธ, high-throughput simulations ๐Ÿ“Š, and rare-earth-free permanent magnets ๐Ÿงฒ. With publications in Acta Materialia, Physical Review B, and IEEE Transactions on Magnetics ๐Ÿ“–, he is contributing to sustainable magnetic materials and next-gen energy technologies โšก, making him a top candidate for the Best Researcher Award ๐Ÿ†.

Dr Riyajul Islam, National Institute of Technology, Nagaland, India

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Academic Qualifications ๐ŸŽ“

Dr. Riyajul Islam is a highly qualified physicist specializing in computational materials science and magnetism ๐Ÿงฒ. He earned his Ph.D. in Physics (2022) ๐Ÿ† from the National Institute of Technology Nagaland, focusing on first-principles modeling of electronic and magnetic materials ๐Ÿ–ฅ๏ธโšก. He completed his M.Sc. in Physics (2016) ๐Ÿ“– from Bodoland University, securing an 8.30/10 CGPA ๐Ÿ“Š, and his B.Sc. in Physics (2014) ๐Ÿ—๏ธ from Gauhati University, with a 7.5/10 CGPA ๐Ÿ…. His strong academic foundation in condensed matter physics ๐Ÿ”ฌ has fueled his research in rare-earth-free permanent magnets and energy-efficient materials ๐Ÿš€.

Technical Expertise ๐Ÿ†

Dr. Riyajul Islam possesses exceptional skills in computational and experimental physics ๐Ÿ–ฅ๏ธ๐Ÿ”ฌ. He is highly proficient in Density Functional Theory (DFT) simulations ๐Ÿงฒ, utilizing tools like WIEN2k, VASP, SPRKKR, Wannier90, TB2J, and Phonopy โš™๏ธ for electronic and magnetic property analysis. His experimental expertise includes XRD, VSM, SEM, TEM, TGA, FTIR, and induction heating ๐Ÿ“ก. Additionally, he has experience in High-Performance Computing (HPC) ๐Ÿ–ฅ๏ธโšก, enabling advanced materials research. His interdisciplinary skill set bridges theoretical modeling and practical characterization, making him a leading researcher in computational materials science and magnetism ๐Ÿš€.

Teaching Experience ๐Ÿ›๏ธ

Dr. Riyajul Islam has extensive experience in teaching physics at various academic levels. Currently, he is a Guest Faculty ๐Ÿ›๏ธ at National Institute of Technology Nagaland (2024 – Ongoing) ๐Ÿ‡ฎ๐Ÿ‡ณ, where he teaches Condensed Matter Physics & Statistical Physics ๐Ÿ“Š to M.Sc. students. Previously, he worked as a Teaching Assistant (2018-2022) ๐Ÿซ, mentoring students in laboratory experiments ๐Ÿงช and guiding Master’s projects. He also served as a Lecturer (2016-2017) ๐Ÿ‘จโ€๐Ÿซ at Kokrajhar Govt. College, teaching mechanics, optics, thermodynamics, and solid-state physics โš›๏ธ. His expertise in physics education and mentorship has shaped numerous aspiring researchers in materials science and magnetism ๐Ÿงฒ.

Research Focus ๐Ÿ”ฌ

Dr. Riyajul Islam specializes in computational materials science, focusing on magnetic materials and electronic structure modeling ๐Ÿ—๏ธโš›๏ธ. His research aims to develop rare-earth-free permanent magnets by enhancing magnetocrystalline anisotropy ๐Ÿงฒ and optimizing electronic and structural properties ๐Ÿ”ฌ. Using first-principles Density Functional Theory (DFT) calculations ๐Ÿ–ฅ๏ธ, he investigates hexaferrites, transition metal alloys, and ferrite nanostructures. His studies contribute to energy-efficient magnetic materials โšก, next-generation spintronics, and high-performance electronic components ๐Ÿ“ก. With significant work on strain-induced magnetism, tailored doping, and advanced simulations, his research is shaping the future of sustainable magnetism and material engineering ๐Ÿš€.

Publication Top Notes๐Ÿ“š

Effect of surface functionalization on the heating efficiency of magnetite nanoclusters for hyperthermia application

Prediction of large magnetic anisotropy for non-rare-earth based permanent magnet of Fe16โˆ’ xMnxN2 alloys

First principle investigation of the electronic structure of spinel Fe3O4

First-principles study on the enhancement of structure stability and magnetocrystalline anisotropy energy of L10-ordered Mn1โˆ’ xFexAlC compound for permanent magnet application

Large magnetic anisotropy in Coโ€“Feโ€“Niโ€“N ordered structures: a first-principles study

Ab initio study of electronic structure and enhancement of magnetocrystalline anisotropy in MnFe2O4 for permanent magnet application

Historical overview and recent advances in permanent magnet materials

Prof Xiang Chen | Computational Materials Science | Best Researcher Award

Prof Xiang Chen | Computational Materials Science | Best Researcher Award

Prof. Xiang Chen is a leading expert in solid mechanics and materials science, currently serving as a Professor at Chongqing University of Posts and Telecommunications, China ๐Ÿ›๏ธ. He holds a Ph.D. in Solid Mechanics ๐ŸŽ“, specializing in smart materials, shape memory alloys, and high-entropy alloys โš™๏ธ. His research focuses on mechanical behavior, tribology, nanoindentation, and molecular dynamics simulations ๐Ÿ”ฌ. With 10+ high-impact journal publications, he has contributed significantly to material characterization and structural analysis ๐Ÿ“š. His expertise in finite element analysis and advanced alloys makes him a key innovator in mechanical and materials engineering ๐Ÿ†.

Prof Xiang Chen, Chongqing University of Posts and Telecommunications, China

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Education ๐ŸŽ“

Prof. Xiang Chen pursued his higher education at Chongqing University, specializing in engineering mechanics and solid mechanics ๐Ÿ›๏ธ. He earned his Bachelorโ€™s degree (2006-2010) in Engineering Mechanics, focusing on smart materials โš™๏ธ under the guidance of Prof. Xianghe Peng ๐Ÿ‘จโ€๐Ÿซ. He continued his studies with a Masterโ€™s degree (2010-2011) in Solid Mechanics, deepening his research in smart materials ๐Ÿ”ฌ. Prof. Chen then completed his Ph.D. (2011-2015) in Solid Mechanics, further advancing his expertise in mechanical behavior and material characterization ๐Ÿ“„. His strong academic foundation has made him a leader in smart materials and structural engineering ๐Ÿ†.

Experienceย ๐Ÿ›๏ธ

Prof. Xiang Chen has built a distinguished career at Chongqing University of Posts and Telecommunications, contributing significantly to materials science and solid mechanics โš™๏ธ. He began as a Lecturer (2015-2018) ๐Ÿ“–, focusing on teaching and research. He was then promoted to Associate Professor (2018-2023), where he led cutting-edge research in smart materials and high-entropy alloys ๐Ÿ”ฌ. In 2023, he became a full Professor, further expanding his influence in mechanical behavior and structural engineering ๐Ÿ“š. His academic leadership and innovative contributions have positioned him as a trailblazer in advanced materials research ๐Ÿ†โœจ.

Skills ๐Ÿ› ๏ธ

Prof. Xiang Chen is a leading expert in smart materials and solid mechanics, with specialized knowledge in shape memory alloys and high-entropy alloys โš™๏ธ. His proficiency in nanoindentation and tribology enables him to analyze material wear and mechanical behavior precisely ๐Ÿ”. He utilizes molecular dynamics simulations to explore atomic-scale interactions ๐Ÿ–ฅ๏ธ and employs finite element analysis for optimizing structural performance ๐Ÿ“Š. His groundbreaking research on microstructural behavior under mechanical and thermal conditions has advanced material characterization and engineering applications ๐Ÿ“š. Prof. Chenโ€™s expertise plays a vital role in developing next-generation materials for industrial and scientific use ๐Ÿ†โœจ.

Research Focus ๐Ÿ”ฌ

Prof. Xiang Chenโ€™s research primarily focuses on solid mechanics, smart materials, and high-entropy alloys โš™๏ธ. He explores the mechanical behavior of NiTi shape memory alloys, investigating their tribological properties, temperature effects, and indentation mechanics ๐Ÿ”. His work also includes shock compression studies on monocrystalline NiTi alloys and heat treatment effects on CuZr composites ๐Ÿ”ฅ. He applies molecular dynamics simulations and finite element analysis to predict material performance ๐Ÿ–ฅ๏ธ. Additionally, Prof. Chen develops advanced composite materials for applications in biomedical stents and aerospace structures ๐Ÿš€๐Ÿฅ. His groundbreaking studies enhance structural durability and material characterization ๐Ÿ†โœจ.

Publications ๐Ÿ“š

Effects of heat treatment parameters and grain sizes on mechanical response of amorphous/crystalline CuZr composites

    • Authors: Yin, M., Duan, M., Fu, T., Chen, X., Peng, X.
    • Journal: Mechanics of Materials ๐Ÿ”ฌ๐Ÿ“‘

Structural Design of Negative Poissonโ€™s Ratio NiTinol Stent and Its Performance in Vascular Support

    • Authors: Chen, X., Xiong, L., Fu, F., Zhao, Y., Kang, X.
    • Journal: Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering ๐Ÿ› ๏ธ

Temperature dependence of tribological properties in NiTi shape memory alloy: A nanoscratching study

    • Authors: Chen, X., Guo, A., Wang, J., Lu, S., Fu, T.
    • Journal: Tribology International ๐Ÿ”งโš™๏ธ

Orientation-dependent multi-spall performance of monocrystalline NiTi alloys under shock compression

    • Authors: Chen, X., Wu, X., Yang, X., Pei, X., Wang, F.
    • Journal: Materials Today Communications ๐Ÿงช๐Ÿ“„

A multiscale mesh generation method for textile composite

    • Authors: Ma, Y., Chen, A., Deng, C., Lu, S., Zeng, X.
    • Journal: Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica โœˆ๏ธ๐ŸŒ

Effect of Material Parameters on the Indentation Mechanical Behavior of Superelastic NiTi Shape Memory Alloy

    • Authors: Chen, X., Jiang, W., Lu, S., Fu, T., Peng, X.
    • Journal: Journal of Materials Engineering and Performance ๐Ÿ”ฌ๐Ÿ“˜

Deformation behavior and yield strength prediction of [112] oriented NbMoTaW refractory high entropy alloy nanowires

    • Authors: Tian, T., Fu, T., Duan, M., Chen, X., Peng, X.
    • Journal: CrystEngComm ๐Ÿงช๐Ÿ“–