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All Journal Journal of Tecnologia Quantica Islamic Studies in the World
Sanya Desai
Symbiosis International University
Religion Physics

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Tunable Non-Linear Dynamics in Nano-Electromechanical Systems (NEMS) Driven by Casimir Force Modulation Vishal Yadav; Sanya Desai; Manivone Keolavong
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3193

Abstract

Nano-electromechanical systems (NEMS) exhibit remarkable sensitivity and non-linear behavior at the nanoscale, making them ideal candidates for applications in sensing, actuation, and quantum technologies. The Casimir force, a quantum phenomenon resulting from vacuum fluctuations, becomes significant at small scales and has the potential to modulate the dynamics of NEMS. This research investigates the tunable non-linear dynamics in NEMS driven by Casimir force modulation, exploring the ability to induce non-linear behaviors such as bistability, hysteresis, and chaotic motion. The primary objective of this study is to understand how Casimir force modulation can be used to control the non-linear dynamics of NEMS, providing a new method for tuning their mechanical responses. The research combines both theoretical simulations and experimental validation, examining the effects of Casimir force on different materials, including graphene, silicon, and carbon nanotubes, across various modulation strengths. The results show that Casimir force modulation can significantly enhance non-linear behaviors in NEMS, with graphene-based systems exhibiting the most pronounced effects. The study demonstrates that the Casimir force can be precisely tuned to induce specific non-linear behaviors, offering new opportunities for NEMS applications. In conclusion, this research highlights the potential of Casimir force modulation to enable highly tunable, stable non-linear dynamics in NEMS, paving the way for advanced quantum sensing, actuation, and other nanoscale technologies.
Integrating Artificial Intelligence in Islamic Religious Education and Its Impact on Students’ Learning Motivation Ibnu Abbas; Vishal Yadav; Sanya Desai
Islamic Studies in the World Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v3i1.3221

Abstract

Background. The increasing use of artificial intelligence (AI) in education has created new opportunities for more interactive and flexible learning environments. In Islamic Religious Education (IRE), AI offers innovative ways to access and understand religious knowledge, yet its influence on students’ learning motivation requires further investigation. Purpose. This study aimed to examine how the integration of artificial intelligence in Islamic Religious Education affects students’ learning motivation at SMK Muhammadiyah Berau. Method.  A qualitative research design was employed using interviews, classroom observations, and document analysis involving teachers, students, and school administrators. The data were analyzed thematically to identify patterns of AI use and its impact on students’ motivation in IRE learning. Results. The findings indicate that AI supports students’ understanding of Islamic concepts by providing clearer explanations and learning assistance, which increases their confidence and participation in classroom activities. AI also encourages students to explore religious materials more actively. However, some students tend to rely too heavily on AI-generated answers, which can reduce critical thinking and reflective learning when not guided by teachers. Conclusion. The study concludes that AI can enhance students’ learning motivation in Islamic Religious Education when it is implemented with appropriate pedagogical guidance and ethical awareness. Teachers and schools play a crucial role in ensuring that AI is used to support meaningful, responsible, and value-based learning.
Co-Authors Ibnu Abbas Manivone Keolavong Vishal Yadav Vishal Yadav