Materials
MaterialsSaddles
MaterialsSaddles
A high-throughput library of converged transition states for solid-state and
surface chemistry.
Hub URL: https://huggingface.co/datasets/SciLM/MaterialsSaddles
Released by SciLM.ai: https://www.scilm.ai
34,135,597 fully converged transition states computed by massively-parallel
saddle searches on top of public materials and catalysis datasets, using the
SaddleMill package and Meta's
uma-s-1p2 machine-learning
interatomic potential.
Each entry in a file is a… See the full description on the dataset page: https://huggingface.co/datasets/SciLM/MaterialsSaddles.Japanese-Materials
仓库信息
电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/Japanese-Materials/discussions 提出。
此仓库存储日共资料：https://huggingface.co/datasets/VoiceOfML/Japanese-Materials/tree/main 。
请使用：https://voiceofml-search.hf.space/Japanese-Materials 进行文件检索（备用搜索站：https://vomebook.github.io/search/#/Japanese-Materials ）。
可使用：https://voiceofml-search.hf.space/Japanese-Materials?wide=1 进行仓库内容查看（备用站：https://voiceofml-search.hf.space/Japanese-Materials?wide=1 ）。… See the full description on the dataset page: https://huggingface.co/datasets/VoiceOfML/Japanese-Materials.MPM-Verse-MaterialSim-Small
Dataset Card for MPMVerse Physics Simulation Dataset
Dataset Summary
This dataset contains Material-Point-Method (MPM) simulations for various materials, including water, sand, plasticine, elasticity, jelly, rigid collisions, and melting. Each material is represented as point-clouds that evolve over time. The dataset is designed for learning and predicting MPM-based physical simulations.
Supported Tasks and Leaderboards
The dataset supports tasks such as:… See the full description on the dataset page: https://huggingface.co/datasets/hrishivish23/MPM-Verse-MaterialSim-Small.MofasaDB
MofasaDB
The MofasaDB is a publicly available dataset containing 200.000+ de novo generated MOF (Metal-Organic Framework) structures from Mofasa trained on QMOF (up to 170 atoms), along with their geometry-relaxed counterparts. The database is released alongside the paper Mofasa: A Step Change in Metal-Organic Framework Generation. A user-friendly web interface for search and discovery can be accessed at https://mofux.ai/.
Database Overview
The database contains… See the full description on the dataset page: https://huggingface.co/datasets/Orbital-Materials/MofasaDB.MPM-Verse-MaterialSim-Large
MPM-Verse-MaterialSim-Large
Dataset Summary
This dataset contains Material-Point-Method (MPM) simulations for various materials, including water, sand, plasticine, and jelly.
Each material is represented as point-clouds that evolve over time. The dataset is designed for learning and predicting MPM-based
physical simulations. The dataset is rendered using five geometric models - Stanford-bunny, Spot, Dragon, Armadillo, and Blub.
Each setting has 10 trajectories per… See the full description on the dataset page: https://huggingface.co/datasets/hrishivish23/MPM-Verse-MaterialSim-Large.hf_policy_materials