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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
We obtain Phantom energy for r 0 dark energy candidate.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, we obtain scalar potential in higher dimensional FRW model via considering exponential acceleration.
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Key Findings & Data:In this respect, we obtain cosmological constant for r = 1and s = 0 as dark energy candidate.
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Conclusion & Impact:We obtain Phantom energy for r 0 dark energy candidate.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Dark energy · higher dimensional · FRW model
Abstract
In this study, we obtain scalar potential in higher dimensional FRW model via considering exponential acceleration. Also, we classify dark energy models for higher dimensional FRW model in accordance with state parameters (r, s) by considering exponential acceleration. In this respect, we obtain cosmological constant for r = 1and s = 0 as dark energy candidate. We obtain Phantom energy for r 0 dark energy candidate.
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Cite This Article
Demirel, E. C. G. (2022). Dark Energy Classification in Higher Dimensional FRW Model According to State. International Journal of Engineering Science and Application, Volume: 6 Issue: 4. https://ajindex.com/articles/1588719