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Ali Newaz Bahar
Researcher at Mawlana Bhashani Science and Technology University
Publications - 67
Citations - 1087
Ali Newaz Bahar is an academic researcher from Mawlana Bhashani Science and Technology University. The author has contributed to research in topics: Quantum dot cellular automaton & Logic gate. The author has an hindex of 18, co-authored 56 publications receiving 839 citations. Previous affiliations of Ali Newaz Bahar include University of Saskatchewan.
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A novel 3-input XOR function implementation in quantum dot-cellular automata with energy dissipation analysis
TL;DR: In this paper, a novel exclusive-OR (XOR) gate is presented, which requires only 12 cells and dissipates 12.11 µV energies at 1.0Ek tunneling energy level.
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Liquid-infiltrated photonic crystal fiber for sensing purpose: Design and analysis
Md. Shadidul Islam,Bikash Kumar Paul,Kawsar Ahmed,Sayed Asaduzzaman,Sayed Asaduzzaman,Md. Ibadul Islam,Sawrab Chowdhury,Shuvo Sen,Ali Newaz Bahar +8 more
TL;DR: In this paper, a photonic crystal fiber based on a modified hexagonal structure has been discussed and demonstrated modal analysis precisely, which shows higher sensitivity as a chemical sensor for lower refractive index chemicals such as Water, Ethanol and Benzene.
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A Review on Reversible Logic Gates and its QCA Implementation
TL;DR: The quantum implementation of primitive reversible gate has been presented and the proposed gates have been designed and simulated using QCADesigner.
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An investigation into the effects of band gap and doping concentration on Cu(In,Ga)Se2 solar cell efficiency
TL;DR: A simulation study of a Cu(In1 − xGax)Se2 (CIGS) thin film solar cell has been carried out with maximum efficiency of 24.27 % and the effects of Ga fraction “x” on CIGS absorber band gap are investigated and to avoid the lattice mismatch effect.
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Optimized design and performance analysis of novel comparator and full adder in nanoscale
TL;DR: The constancy of the proposed designs is evaluated which show the operating efficacy of the designs, and simulation outcomes in QCADesigner tool approve that the presented designs performs properly and can be operated as an extreme performing design in QCA technology.