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All Journal International Journal of Advances in Applied Sciences JIPI (Jurnal IPA dan Pembelajaran IPA)
Kumar, Nitin
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Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Education Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Stability of Molybdenum Back Electrode on Muscovite Substrate for Flexible Thin-Film Solar Cells Syabriyana*, Maliya; Zulfajri, Muhammad; Maulinda, Maulinda; Akbar, Muhammad; Kumar, Nitin
Jurnal IPA & Pembelajaran IPA Vol 9, No 2 (2025): JUNE 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jipi.v9i2.46069

Abstract

The stability of molybdenum (Mo) back contacts in thin-film solar cells is crucial, as oxidation and water ingress can degrade the device performance. This study examines the quality and aging stability of Mo electrodes on flexible muscovite substrates with various adhesion layer deposition pressures (0, 3, 5, and 10 sccm). The microstructure and crystal quality of Mo were analyzed, and film stability was evaluated by exposing samples to atmospheric conditions for eight weeks. Film morphology, reflectance, and resistivity were assessed using scanning electron microscopy (SEM), UV-Visible spectrometry, and four-point probe measurements. In addition, impurity diffusion from muscovite substrates was investigated. The results show that the adhesion layer significantly improved Mos microstructure and crystal quality. Mo electrode with an adhesion layer deposited at low pressure exhibited good stability against environmental exposure compared to those without an adhesion layer. Secondary ion mass spectrometry (SIMS) analysis revealed that in the absence of an adhesion layer, aluminum and silicon diffused into Mo after aging, whereas with an adhesion layer, alkali metal diffusion was observed
Quantum-inspired magnetic resonance imaging sequence optimization for detecting neurological diseases Savan Kumar, Kotichintala Venkata Narasimha; Kumar, Nitin
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1208-1216

Abstract

According to a research study by the National Institutes of Health, India, a magnetic resonance imaging (MRI) holds 89% diagnostic accuracy for acute stroke, while a computed tomography (CT) holds only 54%. Means there is still 11% area of improvement for accuracy measures required and there is 84% specific in identifying nerve enlargement. The possible solution is to use quantum computing; this is new era of technology in advanced design and implementation for computing techniques as compared with that of classical computers. With the goal of improving patient care, this is the area-of research using quantum technology to solve the neurological disorders. MRI and Microsoft’s quantum-inspired algorithms to enhance approach to detecting neurological disorders. To improve accuracy of MRI results in less time, an approach called magnetic resonance fingerprinting (MRF) was explored. This paper mainly focused on optimizing the sequence using Microsoft azure simulator. By generating an optimized pulse sequence and map to the accurate predefined patterns, able to create a solution that improves the diagnostic capability of MRI. Conventional computers will take long time to predict, but accuracy may alter. The proposed quantum-inspired optimization improved MRI diagnostic accuracy up to 92%, with faster sequence optimization compared to classical methods. This simulation-based proof of concept demonstrates potential for enhanced neurological disease detection while acknowledging current limitations such as simulator dependency and limited datasets.
Co-Authors Maulinda, Maulinda Muhammad Akbar Muhammad Zulfajri Savan Kumar, Kotichintala Venkata Narasimha Syabriyana*, Maliya