Sajjad Hussain | Materials Science | Innovative Research Award

Innovative Research Award

Sajjad Hussain
Affiliation Xinxiang University, China
Country Pakistan
Google Scholar ID osKRMmQAAAAJ
Citations 1950
h-index 26
i10-index 45
Subject Area Materials Science
Event Metallurgical Engineering Awards

Sajjad Hussain
Xinxiang University, China

The Innovative Research Award profile recognizes the scholarly achievements, research impact, and academic contributions of Sajjad Hussain, a researcher affiliated with Xinxiang University, China. His work in the field of Materials Science has contributed to advancing scientific understanding across multiple areas of metallurgical and materials engineering research. The profile summarizes research achievements, publication activities, scholarly influence, and suitability for recognition within the framework of the Metallurgical Engineering Awards.[1]

Abstract

This article presents an academic overview of Sajjad Hussain’s scholarly activities in Materials Science. The profile highlights research productivity, publication performance, citation impact, and contributions to scientific advancement. Through sustained research efforts and publication of peer-reviewed studies, the researcher has established a measurable academic presence reflected by citation metrics and recognized scholarly outputs.[2]

Keywords

Materials Science; Metallurgical Engineering; Advanced Materials; Surface Engineering; Nanomaterials; Materials Characterization; Research Impact; Scientific Publications; Citation Analysis; Innovative Research Award.

Introduction

Materials Science plays a central role in technological development by enabling the discovery, characterization, and optimization of materials for industrial and scientific applications. Researchers in this field contribute to advancements in manufacturing, energy systems, structural materials, and sustainable technologies. Sajjad Hussain’s academic work aligns with these objectives through contributions to contemporary materials research and related interdisciplinary investigations.[3]

Research Profile

Sajjad Hussain is affiliated with Xinxiang University, China, and maintains an established academic profile reflected through scholarly publications and citation-based indicators. According to publicly available academic metrics, the researcher has accumulated approximately 1,950 citations, an h-index of 26, and an i10-index of 45, indicating sustained engagement with impactful research topics and continued recognition by the scientific community.[1]

Research Contributions

The research contributions associated with this profile encompass investigations in materials engineering, material performance evaluation, structural characterization, and emerging technologies relevant to metallurgical applications. Published studies have supported knowledge development in areas related to material processing, optimization strategies, and engineering performance assessment. Such contributions facilitate both academic understanding and practical industrial implementation.[4]

Research activities have also contributed to interdisciplinary collaborations that connect materials science with engineering, manufacturing, and technological innovation. These efforts demonstrate the broader applicability of materials research to contemporary scientific and industrial challenges.[5]

Publications

The publication record associated with this researcher includes peer-reviewed journal articles and collaborative studies addressing important topics in materials science and engineering. The body of work demonstrates engagement with contemporary research themes and reflects ongoing participation in international scientific communication and dissemination.

  • Advanced materials synthesis and characterization.
  • Surface engineering and material performance studies.
  • Metallurgical process optimization.
  • Nanostructured and functional material investigations.
  • Industrial and engineering material applications.

Research Impact

Citation-based indicators provide evidence of scholarly visibility and engagement within the research community. An h-index of 26 and approximately 1,950 citations indicate that multiple publications have achieved measurable influence in the scientific literature. These metrics suggest sustained relevance of the research outputs and continued citation by peers across related disciplines.

The impact of research extends beyond citation counts through contributions to scientific dialogue, support for future investigations, and dissemination of knowledge relevant to materials science and engineering advancement.

Award Suitability

The Innovative Research Award recognizes researchers who demonstrate scholarly excellence, meaningful scientific contributions, and measurable research influence. Based on the documented publication activity, citation record, and contributions to Materials Science, Sajjad Hussain presents a profile consistent with the objectives of academic recognition programs focused on innovation, research quality, and scientific advancement.

The combination of sustained publication activity, interdisciplinary engagement, and research impact metrics supports consideration within the Metallurgical Engineering Awards framework for recognition of academic achievements and contributions to the broader scientific community.

Conclusion

Sajjad Hussain’s academic profile reflects active engagement in Materials Science research, supported by peer-reviewed publications, established citation metrics, and ongoing scholarly contributions. The available evidence indicates a sustained commitment to advancing knowledge in materials engineering and related scientific domains. These achievements collectively support recognition through the Innovative Research Award associated with the Metallurgical Engineering Awards program.[1]

References

    1. Google Scholar. (n.d.). Scholar profile of Sajjad Hussain (User ID: osKRMmQAAAAJ).
      https://scholar.google.com/citations?user=osKRMmQAAAAJ&hl=en
    2. Garfield, E. (2006). The History and Meaning of the Journal Impact Factor.
    3. Callister, W. D., & Rethwisch, D. G. Materials Science and Engineering: An Introduction.
    4. Materials & Design. (2020). Advanced Materials Research Studies.
    5. Nature Materials. (2019). Interdisciplinary Materials Innovation.

Pinku Yadav | Metal Additive Manufacturing | Best Researcher Award

Best Researcher Award

Pinku Yadav
Swiss Federal Laboratories for Materials Science and Technology (EMPA), Switzerland

Pinku Yadav
Affiliation Swiss Federal Laboratories for Materials Science and Technology
Country Switzerland
Scopus ID 57209256782
Documents 13
Citations 241
h-index 7
Subject Area Metal Additive Manufacturing
Event Metallurgical Engineering Awards
ORCID 0000-0002-4014-627X

Pinku Yadav nomination recognizes the scholarly achievements and scientific contributions of the Best Researcher Award, a researcher specializing in metal additive manufacturing, laser powder bed fusion, advanced materials processing, process monitoring, and data-driven manufacturing systems. His academic and industrial experience spans Switzerland, the United Kingdom, Belgium, France, Germany, and Spain, reflecting substantial international engagement in advanced manufacturing research. His work has contributed to the understanding of process stability, defect detection, microstructural evolution, and performance optimization in additive manufacturing systems.[1]

Abstract

Pinku Yadav is a materials scientist and manufacturing researcher whose work focuses on additive manufacturing technologies, particularly laser powder bed fusion, process monitoring, machine learning applications, and advanced alloy development. His research combines experimental characterization, process optimization, in-situ monitoring, and computational approaches to improve manufacturing reliability and material performance. Through collaborations with leading industrial and academic institutions, he has contributed to advancements in defect detection, texture evolution, welding science, alloy development, and metal additive manufacturing systems.[2]

Keywords

Metal Additive Manufacturing, Laser Powder Bed Fusion, In-Situ Monitoring, Process Analytics, Machine Learning, Alloy Development, Laser Welding, Advanced Materials, Defect Detection, Metallurgical Engineering.

Introduction

The field of metal additive manufacturing has emerged as a transformative technology for producing complex engineering components with enhanced material utilization and design flexibility. Researchers working at the intersection of materials science, process engineering, and digital manufacturing play a critical role in advancing this discipline. Pinku Yadav’s research portfolio reflects multidisciplinary engagement across these domains, emphasizing process understanding, manufacturing quality assurance, and materials innovation.[1][3]

Research Profile

Pinku Yadav completed his Ph.D. in Metal Additive Manufacturing through the University of Bordeaux and SIRRIS, focusing on drift detection in laser powder bed fusion processes using in-situ monitoring instrumentation and data analytics techniques.[2] His subsequent research and industrial appointments have involved alloy development, process optimization, additive manufacturing qualification, machine learning integration, laser welding, and advanced materials characterization.[1]

  • Postdoctoral Researcher at EMPA, Switzerland.
  • Former AM Lab Engineer at Alloyed Ltd., Oxford, United Kingdom.
  • Marie Skłodowska-Curie Actions Fellowship recipient.

Research Contributions

Pinku Yadav has contributed to several areas of metallurgical and manufacturing research. His investigations into melt pool monitoring and machine-learning-based defect identification have supported the development of more reliable quality assurance methodologies for laser powder bed fusion systems.[2]

  1. Development of monitoring methodologies for additive manufacturing processes.
  2. Research on texture evolution in aluminum alloys processed through additive manufacturing.
  3. Development of NdFeB magnet fabrication approaches using laser-based manufacturing technologies.

Publications

Pinku Yadav has established a growing publication record within the field of metal additive manufacturing, supported by 13 indexed documents and a citation profile demonstrating sustained scholarly engagement. Research outputs include studies on process monitoring, additive manufacturing process optimization, defect prediction, materials characterization, and advanced alloy systems.[1]

  • Laser Powder Bed Fusion Process Monitoring.
  • Machine Learning for Manufacturing Quality Control.
  • Texture Evolution in Aluminum Alloys.
  • Defect Detection and Drift Monitoring.
  • Advanced Metallic Materials for Additive Manufacturing.

Research Impact

Pinku Yadav is reflected through his citation record, industrial collaborations, and successful participation in international research programs. His work addresses practical challenges in additive manufacturing by integrating materials science, process engineering, and data analytics. The resulting outcomes contribute to enhanced manufacturing reliability, process qualification, and industrial adoption of advanced manufacturing technologies.[4]

Award Suitability

Based on documented scholarly output, international research engagement, industrial collaboration, and contributions to metal additive manufacturing, Pinku Yadav demonstrates characteristics commonly associated with candidates for research excellence recognition. His interdisciplinary expertise spanning manufacturing science, materials engineering, process monitoring, machine learning, and advanced alloy development aligns with the objectives of the Metallurgical Engineering Awards program.[1][2]

Conclusion

Pinku Yadav has developed a research portfolio focused on advancing metal additive manufacturing through innovative process monitoring, materials development, and manufacturing optimization strategies.[5] His international research experience, publication record, industrial engagement, and scientific achievements collectively support consideration for the Best Researcher Award within the Metallurgical Engineering Awards framework.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Pinku Yadav, Author ID 57209256782. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57209256782
  2. Pinku Yadav,. & et.al. Advanced Engineering Materials. (2022). Binder jetting 3D printing of titanium aluminides based materials: a feasibility study
    https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/adem.202000408
  3. Pinku Yadav,. & et.al. Advanced Engineering Materials. (2021). Data treatment of in situ monitoring systems in selective laser melting machines.
    https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/adem.202001327
  4. Pinku Yadav,. & et.al. Journal of Manufacturing Processes. (2022). Data processing techniques for in-situ monitoring in L-PBF process.
    https://www.sciencedirect.com/science/article/pii/S1526612522004509
  5. Pinku Yadav,. & et.al. Advanced Engineering Materials. (2029). Novel hybrid printing of porous TiC/Ti6Al4V composites.
    https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/adem.201900336

Lu Wang | Laser Melting | Innovative Research Award

Innovative Research Award

Lu Wang
City University of Hong Kong, Hong Kong

Lu Wang
Affiliation City University of Hong Kong
Country Hong Kong
Scopus ID 57219357752
Documents 35
Citations 1,520
h-index 19
Subject Area Laser Melting
Event Metallurgical Engineering Awards
ORCID 0000-0001-5055-5539

Lu Wang of City University of Hong Kong has contributed to the development of predictive frameworks for laser-based manufacturing processes, including evaporation dynamics, keyhole pore formation, and multi-scale modeling approaches.[1] The Innovative Research Award recognizes notable scholarly contributions in the field of laser melting and metal additive manufacturing, with particular emphasis on computational modeling, thermodynamic simulations, and advanced manufacturing systems. The research portfolio reflects interdisciplinary engagement across manufacturing science, computational mechanics, and material processing technologies.[2]

Abstract

Lu Wang’s research activities in laser melting and additive manufacturing technologies. The profile emphasizes scientific contributions to computational modeling, thermoelectric magnetohydrodynamic systems, multi-phase flow simulations, and evaporation-induced material behavior in laser processing environments. The body of work demonstrates engagement with advanced numerical simulations and manufacturing optimization methodologies relevant to modern metallurgical engineering.[3] Publications in high-impact journals further indicate ongoing participation in internationally recognized research initiatives focused on additive manufacturing science and engineering applications.[4]

Keywords

Laser Melting, Additive Manufacturing, Metal Processing, Thermodynamic Modeling, Computational Materials Science, Multi-scale Simulation, Powder Bed Fusion, Metallurgical Engineering, Keyhole Dynamics, Manufacturing Systems

Introduction

Additive manufacturing technologies have become increasingly important in contemporary metallurgical engineering due to their ability to fabricate complex geometries with enhanced material efficiency and process control. Within this field, laser melting and powder bed fusion processes require advanced understanding of thermal behavior, fluid flow, and material interactions at multiple scales.[2] Lu Wang’s research activities have focused on addressing scientific challenges associated with metal additive manufacturing systems.

Research Profile

Lu Wang currently serves as Assistant Professor in the Department of Mechanical Engineering at City University of Hong Kong. Prior academic appointments included a postdoctoral fellowship at the National University of Singapore. Academic training encompasses doctoral studies in additive manufacturing and computational modeling, supported by engineering education in ship and marine structure design.[1]

These activities have been associated with major funding initiatives and interdisciplinary engineering programs focused on next-generation manufacturing technologies.[3]

Research Contributions

Research contributions attributed to Lu Wang include the development of computational frameworks for understanding evaporation behavior and keyhole formation during laser-based additive manufacturing processes. The studies provide insights into thermal-fluid interactions and process stability under high-energy manufacturing conditions.[2]

Publications

Representative publications demonstrate sustained scholarly engagement in additive manufacturing science and computational materials engineering. Research articles have appeared in journals including Advanced Functional Materials, npj Computational Materials, Physical Review Applied, and International Journal of Machine Tools and Manufacture.[2]

  1. Wang, L., Guo, Z., Peng, G., Wu, S., Zhang, Y., & Yan, W. Evaporation-Induced Composition Evolution in Metal Additive Manufacturing. Advanced Functional Materials, 2024.
  2. Wang, L., Zhang, Y., Chia, H. Y., & Yan, W. Mechanism of keyhole pore formation in metal additive manufacturing. npj Computational Materials, 2022.

Research Impact

The documented citation record and publication output indicate measurable research influence within the fields of additive manufacturing and metallurgical engineering. Several publications have been recognized through citation performance metrics, including designation as highly cited research articles within engineering and applied physics disciplines.[2]

Award Suitability

The Innovative Research Award is intended to recognize scholarly achievement, originality, and measurable contribution to metallurgical engineering research. Lu Wang’s research profile demonstrates alignment with these objectives through sustained publication activity, interdisciplinary engineering investigations, and participation in internationally recognized additive manufacturing research programs.[1]

Conclusion

Lu Wang’s academic profile reflects active contributions to additive manufacturing science and metallurgical engineering through research involving laser melting systems, computational modeling, and process optimization methodologies. The publication record, citation metrics, and participation in collaborative research initiatives collectively support recognition within the field of advanced manufacturing engineering. The Innovative Research Award therefore represents an appropriate acknowledgment of ongoing scholarly engagement and scientific contribution in the domain of laser-based manufacturing technologies.

References

  1. Wang, L., & Yan, W. (2023). Multi-phase flow simulation of powder streaming in laser-based directed energy deposition.
    https://www.sciencedirect.com/science/article/pii/S0017931023003927
  2. Wang, L., Zhang, Y., Chia, H. Y., & Yan, W. (2022). Mechanism of keyhole pore formation in metal additive manufacturing. npj Computational Materials, 8(1), 22.
    https://www.nature.com/articles/s41524-022-00699-6
  3. Wang, L., Guo, Q., Chen, L., & Yan, W. (2023). In-situ experimental and high-fidelity modelling tools to advance understanding of metal additive manufacturing. International Journal of Machine Tools and Manufacture.
    https://doi.org/10.1016/j.ijmachtools.2023.104077
  4. Wang, L., & Yan, W. (2021). Thermoelectric magnetohydrodynamic model for laser-based metal additive manufacturing. Physical Review Applied, 15(6), 064051.
    https://doi.org/10.1103/PhysRevApplied.15.064051
  5. Wang, L., Guo, Z., Peng, G., Wu, S., Zhang, Y., & Yan, W. (2024). Evaporation-Induced Composition Evolution in Metal Additive Manufacturing. Advanced Functional Materials.
    https://doi.org/10.1002/adfm.202412071

Gabriel Fabricio Rocha de Carvalho Padua | Composite Solder Alloys | Best Nanomaterials in Metallurgy Award

Mr. Gabriel Fabricio Rocha de Carvalho Padua | Composite Solder Alloys | Best Nanomaterials in Metallurgy Award

Assistant Project at Conecthus Institute of Technology and Biotechnology of Amazonas | Brazil

Gabriel Fabricio Rocha de Carvalho Padua focuses on nanomaterial-driven advancements in metallurgical systems, particularly graphene-reinforced Sn–Bi lead-free solder alloys. His research investigates intermetallic compound growth control, microstructural refinement, and reliability under thermal cycling using advanced characterization techniques. He has authored around seven peer-reviewed publications and a book chapter, contributing to nanomaterials in electronic interconnections. With a Scopus-recognized research profile, a document of 2, and citation record, his work reflects promising early-stage impact. His contributions align strongly with innovations in nanomaterials for metallurgical applications and electronic reliability.

Professional Profiles

Featured Publications

Beya Ouertani | Fabrication and Characterization | Research Excellence Award

Assoc. Prof. Dr. Beya Ouertani | Fabrication and Characterization | Research Excellence Award

Associate Professor at University of Tunis El Manar | Tunisia

Assoc. Prof. Dr. Beya Ouertani is an accomplished researcher in condensed matter physics, specializing in the synthesis and characterization of semiconductor and porous thin films for energy and optoelectronic applications. Her work emphasizes low-cost spray pyrolysis routes for materials relevant to photovoltaics, sensors, and functional coatings, with demonstrated advances in structural, optical, and electrical performance. She has published 18 Scopus-indexed research articles, including high-quality papers in Ceramics International, Journal of Alloys and Compounds, and Materials Chemistry and Physics. Her scholarly output has received 335 citations, achieving a Scopus h-index of 10, reflecting sustained research impact and scientific excellence suitable for the Research Excellence Award.

Citation Metrics (Scopus)

400

300

100

50

0

Citations
335

Documents
18

h-index
10

Featured Publications

Dongxin Wang | Rare Metal Materials | Excellence in Research Award

Dr. Dongxin Wang | Rare Metal Materials | Excellence in Research Award

Director at State Key Laboratory of Special Rare Metal Materials | China

Dr. Dongxin Wang is a distinguished researcher recognized for impactful contributions to advanced materials and metallurgical research. His scholarly work emphasizes scientific rigor, innovation, and relevance to contemporary engineering challenges. He has published 41 peer-reviewed research documents, demonstrating sustained research productivity and academic leadership. His work has garnered 179 citations, reflecting strong visibility and influence within the international research community. With a Scopus h-index of 8, Dr. Wang’s research shows consistent citation performance across multiple publications. The quality, originality, and measurable impact of his research outputs clearly establish his suitability for the Excellence in Research Award, honoring significant and enduring contributions to research excellence.

Citation Metrics (Scopus)

200

100

50

25

0

Citations
179

Documents
41

h-index
8


View Scopus Profile

Featured Publications

Bilal Ahmad | Computational Metallurgy | Research Excellence Award

Mr. Bilal Ahmad | Computational Metallurgy | Research Excellence Award

University of Johannesburg | South Africa

Mr. Bilal Ahmad demonstrates emerging excellence in data science and artificial intelligence, with scholarly focus on machine learning and deep learning applications for complex, real-world problems. Research contributions emphasize predictive analytics and intelligent modeling, including peer-reviewed work on epidemic outbreak analysis using advanced computational techniques. The research reflects methodological soundness, interdisciplinary relevance, and alignment with current global challenges in data-driven systems. According to the Scopus profile, the researcher has 1 indexed publication, 2 total citations, and an h-index of 1, indicating early academic visibility and growing research impact. These contributions highlight strong potential for continued advancement and research excellence.

Citation Metrics ( Google Scholar )

5

3

2

1

0

Citations
2

Documents
1

h-index
1

Featured Publications


Exploration of Epidemic Outbreaks Using Machine and Deep Learning Techniques
– Advances in Cybersecurity, Cybercrimes, and Smart Emerging Technologies, 2023

Danielle Viviana Ochoa Arbeláez | Materials Science | Women Researcher Award

Dr. Danielle Viviana Ochoa Arbeláez | Materials Science | Women Researcher Award

Lecturer at National University of Colombia | Colombia

Dr. Danielle Viviana Ochoa Arbeláez’s research emphasizes the application of biophotonics and optical technologies to address complex challenges in biomedical science. Her work explores laser- and LED-based irradiation as non-invasive tools for studying cellular responses, contributing to advances in leukemia research, optical diagnostics, and experimental biomedical instrumentation. She combines chemical, pharmacological, and engineering principles to develop innovative experimental approaches with translational potential in health sciences. Her scholarly contributions include peer-reviewed publications, book chapters, and conference papers. As reflected in her Scopus profile, she has 10 documents, an h-index of 1, and 2 citations, underscoring her emerging impact as a woman researcher.

Citation Metrics ( Google Scholar )

20

15

10

0

Citations
2

Documents
10

h-index
1

Featured Publications

Osama Ibrahim | FeCrAl Sintered Fibers | Best Researcher Award

Dr. Osama Ibrahim | FeCrAl Sintered Fibers | Best Researcher Award

Associate Professor at Kuwait University | Kuwait  

Dr. Osama Ibrahim is a distinguished researcher in applied thermodynamics, heat transfer, high-temperature oxidation, porous media, and clean air technologies. His work integrates fundamental thermal science with practical applications in energy systems, desalination, and emission control. He has made significant contributions through high-impact publications, innovative patents, and internationally recognized research on diesel particulate filters, solar-assisted energy systems, and advanced thermal materials. With 40 Scopus-indexed documents, 688 citations, and an h-index of 12, his research demonstrates both scholarly excellence and real-world impact. Dr. Ibrahim’s work exemplifies innovation, sustainability, and scientific leadership, making him highly deserving of the Best Researcher Award.

Citation Metrics (Scopus)

700

500

100

50

0

Citations
688

Documents
40

h-index
12

 

Featured Publications


Absorption Power Cycles

– Energy 21(1), 21-27, 1996 (Cited by 224)

Design Considerations for Ammonia-Water Rankine Cycle

– Energy 21(10), 835-841, 1996 (Cited by 62)

Finite-Time View of the Stirling Engine

– Energy 19(8), 837-843, 1994 (Cited by 56)

Abdelrahman Salman | Corrosion Resistance | Advanced Surface Treatment Award

Dr. Abdelrahman Salman | Corrosion Resistance | Advanced Surface Treatment Award

Researcher at Tomsk Polytechnic University | Russia

Dr. Abdelrahman Salman is a materials and nuclear engineering researcher whose work centers on developing advanced surface-treatment strategies for enhancing the corrosion resistance, stability, and functional performance of metallic alloys used in nuclear reactor systems. His research focuses on thin-film coating technologies, thermo-physical diagnostics, and nondestructive evaluation techniques that enable precise characterization of surface integrity under extreme operational conditions. He has engineered and tested thin-film layers that modify corrosion pathways in fast-reactor alloys, investigated adhesion behavior and microstructural evolution in protective coatings, and identified new corrosion-resistant phenomena in emerging materials. His development of a ThermoEMF-based diagnostic device has provided a novel method for real-time temperature monitoring of micro-scale surfaces, expanding analytical capabilities for thermal-mechanical behavior of coated materials. Through advanced methods such as SEM, XRD, XRF, ECT, sputtering deposition, and specialized NDT approaches, he analyzes degradation mechanisms critical to nuclear safety and component life-cycle management. His scholarly output includes 3 Scopus-indexed publications, 6 citations, and an h-index of 2, supported by active participation in over 15 technical conferences and multiple invited research presentations. His work continually integrates experimental innovation with reactor-relevant problem-solving, contributing valuable insights to thin-film engineering, corrosion mitigation, and materials diagnostics. Salman’s growing recognition in the field reflects his strong research capabilities and his commitment to developing robust surface-treatment technologies essential for next-generation nuclear energy systems.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

Salman, A., Syrtanov, M., & Lider, A. (2025). High-temperature oxidation effect of protective thin layers Ta/Cr coatings on Zr-1Nb alloy for corrosion-resistant components of nuclear reactors. Materials Letters, 379, 137646.
Cited by: 4

Salman, A. M., Lider, A. M., & Lomygin, A. D. (2025). Surface treatment techniques and control methods for enhancing corrosion resistance and very thin films management in fast nuclear reactors. Results in Surfaces and Interfaces, 100468.
Cited by: 3

Salman, A. M., Kudiiarov, V. N., & Lider, A. M. (2025). Low resistivity measurement of chromium coatings on zirconium alloys E110 for the production of accident-resistant core components of nuclear reactors. Russian Physics Journal, 1–9.

Salman, A. M., Syrtanov, M. S., & Lider, A. M. (2024). Non-destructive testing of a Zr-1Nb zirconium alloy with a protective Cr/Mo thin layers coating for the production of corrosion-resistant components of nuclear reactors. Perspektivnye Materialy Konstruktsionnogo i Funktsional’nogo Naznacheniya.

Salman, A. M., Kudiyarov, V. N., & Lider, A. M. (2024). Non-destructive techniques on zirconium alloy E110 with chromium coatings for the production of emergency-resistant core components of nuclear reactors. Perspektivnye Materialy Konstruktsionnogo i Funktsional’nogo Naznacheniya.