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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
It is shown that such approaches can provide practical solutions for bulk systems of high density.
📌 3 Key Takeaways
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Objective & Hypothesis:A new representation for interaction potential functions is presented.
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Key Findings & Data:Unlike the orthodox approaches, the potential function is not a fixed function in terms of internuclear coordinates but a probabilistic one which contains information over a wide range of angular degrees of freedom.
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Conclusion & Impact:It is shown that such approaches can provide practical solutions for bulk systems of high density.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
A new representation for interaction potential functions is presented. Unlike the orthodox approaches, the potential function is not a fixed function in terms of internuclear coordinates but a probabilistic one which contains information over a wide range of angular degrees of freedom. It is shown that such approaches can provide practical solutions for bulk systems of high density.
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Cite This Article
EŞSİZ, Ş., YURTSEVER, E. (2022). A coarse graining approach in molecular simulations: Fuzzy potentials. ARI The Bulletin of the Istanbul Technical University, Cilt: 53 - Sayı: 1, 25–28. https://ajindex.com/articles/448180