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Scaling Density Functional Theory with Gaussian Splatting

Paper recorded by Signals 4 on 2026-09-25 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.LG · 机器学习 · first seen 2026-09-28

Abstract

Density functional theory (DFT) strikes a practical balance between accuracy and computational cost in many problems of computational chemistry and materials science. However, many DFT calculations are limited by fixed atom-centered basis sets, which dictate how accuracy and cost scale with system size. We propose Gaussian Splatting for Density Functional Theory (GS-DFT), which represents molecula

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#17 most recent of 310 cs.LG papers we have recorded · ↑ newer: Retail Product Search: A Practical Approach at Target · ↓ older: Temporal Gradient Inversion for Private Trajectory Reconstruction in E
Cite this page: Scaling Density Functional Theory with Gaussian Splatting: the #17 most recent of 310 cs.LG papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scaling-density-functional-theory-with-gaussian-splatting.html
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