Simit Prajapati | Computational | Material Scientist Award

Material Scientist Award

Simit Prajapati
Affiliation The Charutar Vidya Mandal (CVM) University
Country India
Scopus ID 59360997600
Documents 3
Citations 5
h-index 2
Subject Area Computational
Event International Material Scientist Awards
ORCID 0000-0001-5140-5591

The available bibliographic information identifies Simit Prajapati with a Scopus author profile documenting three indexed scholarly documents, five citations, and an h-index of 2. These bibliometric indicators provide a quantitative overview of the researcher’s publication activity and citation performance within the Scopus database. The documented publications indicate an active engagement with scholarly research, while the citation count reflects the extent to which the indexed work has been referenced by other researchers. The h-index of 2 indicates that at least two publications associated with the profile have received a minimum of two citations each.[1]

Abstract

Simit Prajapati is a researcher affiliated with The Charutar Vidya Mandal (CVM) University in India, with a research profile identified in the computational subject area. The available Scopus information records three documents, five citations, and an h-index of 2. The researcher also maintains an ORCID identifier, providing a persistent digital identity for distinguishing scholarly contributions across research and publishing systems. [1]

Keywords

Simit Prajapati is a researcher affiliated with The Charutar Vidya Mandal (CVM) University, India, working in computational research and materials science. His scholarly profile includes Scopus-indexed publications, citations, and an h-index, reflecting academic activity and research impact. His work aligns with computational materials research and the International Material Scientist Awards recognition framework.[2]

Introduction

Within this broader context, the research profile of Simit Prajapati is associated with the computational subject area. The available bibliographic record indicates a developing indexed publication profile, with three documents and five citations recorded in Scopus. Such metrics should be interpreted as descriptive indicators rather than as a complete measure of research quality or significance.[1]

Research Profile

Simit Prajapati is affiliated with The Charutar Vidya Mandal (CVM) University in India. The available researcher information identifies Computational as the principal subject area supplied for this profile. The ORCID identifier provides a persistent researcher identifier that can be used to distinguish an individual researcher from others with similar names and to connect scholarly works with an authenticated researcher record. [4]

Research Contributions

The supplied research information places Simit Prajapati within the computational area of scholarly research. Computational research can contribute to materials science by enabling theoretical analysis, numerical modelling, simulation, computational characterization, and interpretation of material-related phenomena. The precise nature of individual contributions should, however, be evaluated from the full text and bibliographic records of the researcher’s publications.[3]

Publications

The available Scopus information records three documents associated with the supplied researcher profile. The available input data do not provide individual publication titles, journal names, publication years, article identifiers, or verified DOI numbers. Accordingly, specific publication-level claims and DOI assignments are not introduced here to avoid attributing works without sufficient bibliographic evidence. [4]

Research Impact

The supplied bibliometric indicators report five citations and an h-index of 2 for the identified Scopus author profile. The citation count indicates that indexed publications associated with the profile have received citations, while the h-index reflects the number of publications within the indexed record that have reached the corresponding citation threshold.[2]

Award Suitability

Award suitability should ultimately be determined through the official criteria and review procedures of the awarding organization. A rigorous assessment may consider the relevance and originality of the research, publication quality, citation performance, methodological contribution, academic collaboration, research outcomes, and the relationship between the nominee’s work and the award category. [3]

Conclusion

Simit Prajapati is a researcher affiliated with The Charutar Vidya Mandal (CVM) University, India, with a supplied research focus in the computational area. The available Scopus profile records three documents, five citations, and an h-index of 2. An ORCID identifier further provides a persistent mechanism for researcher identification. [4]

References

  1. Elsevier. (n.d.). Scopus author details: Simit Prajapati, Author ID 59360997600. Scopus.
    https://www.scopus.com/pages/authors/59360997600
  2. ORCID. (n.d.). ORCID record: Simit Prajapati, ORCID iD 0000-0001-5140-5591. ORCID.
    https://orcid.org/0000-0001-5140-5591
  3. International Material Scientist Awards. (n.d.).
    https://materialscientists.com
  4. Prajapati, S.,& Srivastava, S.  Mass transfer behavior of Jamun (Indian blackberry) slices using convective drying technique. Journal of Biosystems Engineering, 50, 353–363.
    https://doi.org/10.1007/s42853-025-00270-3

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 🇩🇰 (2022-2024). His research focuses on Density Functional Theory (DFT) 🖥️, high-throughput simulations 📊, and rare-earth-free permanent magnets 🧲. With publications in Acta Materialia, Physical Review B, and IEEE Transactions on Magnetics 📖, he is contributing to sustainable magnetic materials and next-gen energy technologies ⚡, making him a top candidate for the Best Researcher Award 🏆.

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

Profile

GOOGLESCHOLAR

ORCID

SCOPUS

Academic Qualifications 🎓

Dr. Riyajul Islam is a highly qualified physicist specializing in computational materials science and magnetism 🧲. He earned his Ph.D. in Physics (2022) 🏆 from the National Institute of Technology Nagaland, focusing on first-principles modeling of electronic and magnetic materials 🖥️⚡. He completed his M.Sc. in Physics (2016) 📖 from Bodoland University, securing an 8.30/10 CGPA 📊, and his B.Sc. in Physics (2014) 🏗️ from Gauhati University, with a 7.5/10 CGPA 🏅. His strong academic foundation in condensed matter physics 🔬 has fueled his research in rare-earth-free permanent magnets and energy-efficient materials 🚀.

Technical Expertise 🏆

Dr. Riyajul Islam possesses exceptional skills in computational and experimental physics 🖥️🔬. He is highly proficient in Density Functional Theory (DFT) simulations 🧲, utilizing tools like WIEN2k, VASP, SPRKKR, Wannier90, TB2J, and Phonopy ⚙️ for electronic and magnetic property analysis. His experimental expertise includes XRD, VSM, SEM, TEM, TGA, FTIR, and induction heating 📡. Additionally, he has experience in High-Performance Computing (HPC) 🖥️⚡, 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 🚀.

Teaching Experience 🏛️

Dr. Riyajul Islam has extensive experience in teaching physics at various academic levels. Currently, he is a Guest Faculty 🏛️ at National Institute of Technology Nagaland (2024 – Ongoing) 🇮🇳, where he teaches Condensed Matter Physics & Statistical Physics 📊 to M.Sc. students. Previously, he worked as a Teaching Assistant (2018-2022) 🏫, mentoring students in laboratory experiments 🧪 and guiding Master’s projects. He also served as a Lecturer (2016-2017) 👨‍🏫 at Kokrajhar Govt. College, teaching mechanics, optics, thermodynamics, and solid-state physics ⚛️. His expertise in physics education and mentorship has shaped numerous aspiring researchers in materials science and magnetism 🧲.

Research Focus 🔬

Dr. Riyajul Islam specializes in computational materials science, focusing on magnetic materials and electronic structure modeling 🏗️⚛️. His research aims to develop rare-earth-free permanent magnets by enhancing magnetocrystalline anisotropy 🧲 and optimizing electronic and structural properties 🔬. Using first-principles Density Functional Theory (DFT) calculations 🖥️, he investigates hexaferrites, transition metal alloys, and ferrite nanostructures. His studies contribute to energy-efficient magnetic materials ⚡, next-generation spintronics, and high-performance electronic components 📡. With significant work on strain-induced magnetism, tailored doping, and advanced simulations, his research is shaping the future of sustainable magnetism and material engineering 🚀.

Publication Top Notes📚

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 Fe16− 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 Mn1− xFexAlC compound for permanent magnet application

Large magnetic anisotropy in Co–Fe–Ni–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 🏛️. He holds a Ph.D. in Solid Mechanics 🎓, specializing in smart materials, shape memory alloys, and high-entropy alloys ⚙️. His research focuses on mechanical behavior, tribology, nanoindentation, and molecular dynamics simulations 🔬. With 10+ high-impact journal publications, he has contributed significantly to material characterization and structural analysis 📚. His expertise in finite element analysis and advanced alloys makes him a key innovator in mechanical and materials engineering 🏆.

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

Profile

SCOPUS

Education 🎓

Prof. Xiang Chen pursued his higher education at Chongqing University, specializing in engineering mechanics and solid mechanics 🏛️. He earned his Bachelor’s degree (2006-2010) in Engineering Mechanics, focusing on smart materials ⚙️ under the guidance of Prof. Xianghe Peng 👨‍🏫. He continued his studies with a Master’s degree (2010-2011) in Solid Mechanics, deepening his research in smart materials 🔬. Prof. Chen then completed his Ph.D. (2011-2015) in Solid Mechanics, further advancing his expertise in mechanical behavior and material characterization 📄. His strong academic foundation has made him a leader in smart materials and structural engineering 🏆.

Experience 🏛️

Prof. Xiang Chen has built a distinguished career at Chongqing University of Posts and Telecommunications, contributing significantly to materials science and solid mechanics ⚙️. He began as a Lecturer (2015-2018) 📖, 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 🔬. In 2023, he became a full Professor, further expanding his influence in mechanical behavior and structural engineering 📚. His academic leadership and innovative contributions have positioned him as a trailblazer in advanced materials research 🏆✨.

Skills 🛠️

Prof. Xiang Chen is a leading expert in smart materials and solid mechanics, with specialized knowledge in shape memory alloys and high-entropy alloys ⚙️. His proficiency in nanoindentation and tribology enables him to analyze material wear and mechanical behavior precisely 🔍. He utilizes molecular dynamics simulations to explore atomic-scale interactions 🖥️ and employs finite element analysis for optimizing structural performance 📊. His groundbreaking research on microstructural behavior under mechanical and thermal conditions has advanced material characterization and engineering applications 📚. Prof. Chen’s expertise plays a vital role in developing next-generation materials for industrial and scientific use 🏆✨.

Research Focus 🔬

Prof. Xiang Chen’s research primarily focuses on solid mechanics, smart materials, and high-entropy alloys ⚙️. He explores the mechanical behavior of NiTi shape memory alloys, investigating their tribological properties, temperature effects, and indentation mechanics 🔍. His work also includes shock compression studies on monocrystalline NiTi alloys and heat treatment effects on CuZr composites 🔥. He applies molecular dynamics simulations and finite element analysis to predict material performance 🖥️. Additionally, Prof. Chen develops advanced composite materials for applications in biomedical stents and aerospace structures 🚀🏥. His groundbreaking studies enhance structural durability and material characterization 🏆✨.

Publications 📚

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 🔬📑

Structural Design of Negative Poisson’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 🛠️

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 🔧⚙️

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 🧪📄

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 ✈️🌐

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 🔬📘

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 🧪📖