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

Abstract is submitted as file

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