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Explores atomic descriptors, emphasizing symmetry, locality, and the challenges of incorporating electrostatics in machine learning models for chemistry.
Explores multipole expansion in electrostatics and magnetostatics, focusing on monopole, dipole, and higher-order moments, and their mathematical representations.
Explores the derivation of a potential function without knowing the charge distribution and its practical implications in analyzing electrostatic problems.
