ByteDance-Seed/SCFbench
👋 Hi, everyone! We are ByteDance Seed team. You can get to know us better through the following channels👇 Towards A Universally Transferable Acceleration Method for Density Functional Theory Zhe Liu, Yuyan Ni, Zhichen Pu, Qiming Sun, Siyuan Liu & Wen Yan https://arxiv.org/abs/2509.25724 TL;DR We propose a framework for accelerating DFT calculations. We train E(3)-equivariant neural networks to predict the… See the full description on the dataset page: https://huggingface.co/datasets/ByteDance-Seed/SCFbench.
| Author / organization | ByteDance-Seed |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 232 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 1 December 2025 |
| Last updated at source | 9 March 2026 |
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232 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: 👋 Hi, everyone! We are ByteDance Seed team. You can get to know us better through the following channels👇 Towards A Universally Transferable Acceleration Method for Density Functional Theory Zhe Liu, Yuyan Ni, Zhichen Pu, Qiming Sun, Siyu → 👋 Hi, everyone! We are ByteDance Seed team. You can get to know us better through the following channels👇 Towards A Universally Transferable Acceleration Method for Density Functional Theory Zhe Liu, Yuyan Ni, Zhichen Pu, Qiming Sun, Siyu
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