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Towards More Accurate Energy Materials Simulations: Kolmogorov-Arnold Networks for Exchange-Correlation Functional in DFT
Erland Rachmad Ramadhan
Department of Mathematics, University of Indonesia
Abstract
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Keywords: Density Functional Theory (DFT), Exchange-Correlation Functional, Kolmogorov-Arnold Networks (KANs), Energy Materials, Materials Design, Computational Efficiency
Topic: AI, IoT, Sensor and Instrumentation for Energy
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| Corresponding Author (Erland Rachmad Ramadhan)
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