OC22 催化剂模拟数据集

该数据集是 FAIR 与卡内基梅隆大学于 2022 年联合的推出了催化剂模拟数据集，即 Open Catalyst 2022 (OC22) Dataset，该数据集在 OC20 数据集的基础上做了扩展补充，包含了更多复杂的催化剂结构和新的反应类型，提供了更丰富的数据用于 AI 模型的训练和测试。相关论文成果为「The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts」。

This catalyst simulation dataset, namely the Open Catalyst 2022 (OC22) Dataset, was jointly launched by FAIR and Carnegie Mellon University in 2022. Built upon the OC20 Dataset, this dataset has been expanded and supplemented with more complex catalyst structures and novel reaction types, providing richer data for the training and testing of AI models. The associated research paper is titled *The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts*.

搜集汇总

背景与挑战

背景概述

OC22催化剂模拟数据集是FAIR与卡内基梅隆大学于2022年联合推出的Open Catalyst 2022 (OC22) Dataset，它在OC20数据集基础上扩展，增加了更复杂的催化剂结构和新的反应类型，旨在为AI模型提供更丰富的训练和测试数据，相关论文成果为'The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts'。