most citedScalable Dielectric Tensor Predictions for Inorganic Materials using Equivariant Graph Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cond-mat.mtrl-sci2026★ 1 cited

Scalable Dielectric Tensor Predictions for Inorganic Materials using Equivariant Graph Neural Networks

Haowei Hua, Chen Liang, Ding Pan +4

Accurate prediction of dielectric tensors is essential for accelerating the discovery of next-generation inorganic dielectric materials. Existing machine learning approaches, such…

cs.LG2025

Flow Along the K-Amplitude for Generative Modeling

Weitao Du, Shuning Chang, Jiasheng Tang +3

In this work, we propose a novel generative learning paradigm, K-Flow, an algorithm that flows along the -amplitude. Here, is a scaling parameter that organizes frequency ba…