arXiv Machine Learning July 20, 2026 By Dimitrios Gourzoulidis, Soumaya Elkantassi, Serafim Kalliadasis

A Physics-Informed Neural Network with a Modified Lorentzian Activation for Nonlocal Gradient-Flow Equations in Dynamic Density Functional Theory

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arXiv:2607. 15291v1 Announce Type: cross Abstract: We develop a physics-informed neural network (PINN) framework for nonlocal partial differential equations arising in dynamic density functional theory (DDFT).

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By Zihao Guo, Xin Li, Zhihong Xia

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