Topology Prediction of Gas‐Separating Metal−Organic Frameworks with Low Symmetry Vertices

对称(几何) 材料科学 拓扑(电路) 金属有机骨架 金属 化学物理 纳米技术 化学 物理化学 组合数学 冶金 数学 几何学 吸附
作者
Yi-Chen Wu,Huoshu Xu,Xinhao Li,Yin Rao,Sailin Yuan,Yu Yan,Yue‐Biao Zhang,Qiaowei Li
出处
期刊:Small [Wiley]
卷期号:20 (36): e2402314-e2402314 被引量:1
标识
DOI:10.1002/smll.202402314
摘要

Abstract Topology serves as a blueprint for the construction of reticular structures such as metal−organic frameworks, especially for those based on building blocks with highly symmetrical shapes. However, it remains a challenge to predict the topology of the frameworks from less symmetrical units, because their corresponding vertex figures are largely deformed from the perfect geometries with no “default” net embedding. Furthermore, vertices involving flexible units may have multiple shape choices, and the competition among their designated topologies makes the structure prediction in large uncertainty. Herein, the deformation index is proposed to characterize the symmetry loss of the vertex figure by comparing it with its ideal geometry. The mathematical index is employed to predict the shapes of two in situ formed Co‐based metalloligands (pseudo‐tetrahedron and pseudo‐square), which further dictate the framework topology ( flu and scu ) when they are joined with the [Zr 6 O 8 ]‐based cuboid units. The two frameworks with very similar constituents provide an ideal platform to investigate how the pore shapes and interconnectivity influence the gas separation. The net with cylindrical channels outperforms the other with discreate cages in C 3 H 8 /C 2 H 6 /CH 4 separation, benefiting from the facile accessibility of its interaction sites to the guests imposed by the specific framework topology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
乐乐应助庾稀采纳,获得10
1秒前
打打应助LLL采纳,获得10
1秒前
1秒前
kong溪1002发布了新的文献求助10
1秒前
量子星尘发布了新的文献求助10
2秒前
lll完成签到 ,获得积分10
2秒前
3秒前
cmh完成签到,获得积分20
3秒前
3秒前
3秒前
3秒前
大胆如彤完成签到,获得积分20
3秒前
4秒前
4秒前
Xuan_Y完成签到,获得积分10
4秒前
5秒前
搜集达人应助降娄采纳,获得10
5秒前
爆米花应助muri采纳,获得10
5秒前
5秒前
6秒前
SY完成签到,获得积分10
6秒前
lyp发布了新的文献求助10
6秒前
若溪完成签到,获得积分10
6秒前
6秒前
6秒前
随遇而安发布了新的文献求助10
7秒前
7秒前
冷酷夏真完成签到 ,获得积分10
7秒前
zaaaz发布了新的文献求助10
7秒前
Magic麦发布了新的文献求助10
7秒前
aga发布了新的文献求助10
7秒前
7秒前
7秒前
zz应助够苟采纳,获得10
8秒前
8秒前
科研通AI6应助totpto采纳,获得30
8秒前
celinewu完成签到,获得积分10
8秒前
雪花完成签到,获得积分10
8秒前
大胆如彤发布了新的文献求助10
9秒前
HM发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5647671
求助须知:如何正确求助?哪些是违规求助? 4774049
关于积分的说明 15040794
捐赠科研通 4806561
什么是DOI,文献DOI怎么找? 2570314
邀请新用户注册赠送积分活动 1527131
关于科研通互助平台的介绍 1486211