Atomically precise control in the design of low-nuclearity supported metal catalysts

纳米技术 催化作用 表征(材料科学) 材料科学 计算机科学 生化工程 化学 工程类 生物化学
作者
Sharon Mitchell,Javier Pérez‐Ramírez
出处
期刊:Nature Reviews Materials [Nature Portfolio]
卷期号:6 (11): 969-985 被引量:123
标识
DOI:10.1038/s41578-021-00360-6
摘要

Nanostructured catalysts incorporating supported metal atoms or small clusters of defined size and chemical composition attract considerable attention because of their potential to maximize resource efficiency. When optimally assembled, all the metal nuclei can participate in the catalytic cycle with properties tailored to deliver high specific activity and stable performance. Over the past decade, both the number and diversity of reported systems have exploded as researchers attempted to control the nanostructure with increasing atomic precision. Nonetheless, spatially resolving the architecture and properties of supported low-nuclearity catalysts using existing analytical methods remains challenging. After identifying general structural features of this advanced family of catalytic materials, including their composition, nuclearity, coordination environment and location, as well as dynamic effects in reactive environments, this Review critically examines progress in their control and understanding. State-of-the-art experimental and theoretical approaches for their characterization are explored, addressing strengths and limitations through recent case studies. Finally, we outline directions for future work that will cross frontiers in the design of catalytic materials, which will be indispensable for developing high-performing new architectures for sustainable technologies. Low-nuclearity catalysts incorporating supported metal atoms or small clusters on appropriately tailored carriers are growing in diversity and have great potential in catalysis. This Review examines progress in their synthesis and characterization towards the atomically precise design of high-performing new architectures.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
怪杰发布了新的文献求助10
2秒前
4秒前
柠檬完成签到 ,获得积分10
5秒前
5秒前
斯文败类应助conghuang采纳,获得10
5秒前
完美凝海完成签到 ,获得积分10
6秒前
桃子完成签到,获得积分10
7秒前
7秒前
小李在哪儿完成签到 ,获得积分10
9秒前
1111发布了新的文献求助10
13秒前
biglixiang完成签到,获得积分10
16秒前
16秒前
17秒前
NgiNgu完成签到 ,获得积分10
18秒前
18秒前
走四方发布了新的文献求助10
19秒前
汉堡包应助1111采纳,获得10
19秒前
peanuttt完成签到,获得积分10
20秒前
所所应助conghuang采纳,获得10
20秒前
20秒前
星辰大海应助啊唔采纳,获得10
20秒前
biglixiang发布了新的文献求助10
20秒前
20秒前
kylin完成签到,获得积分10
20秒前
地表飞猪应助SJ采纳,获得10
22秒前
peanuttt发布了新的文献求助10
22秒前
23秒前
xcltzh1296完成签到,获得积分10
23秒前
讲座梅郎完成签到,获得积分10
23秒前
lliinn0105发布了新的文献求助10
23秒前
24秒前
半瓶子不满应助mmyhn采纳,获得20
24秒前
阳光问安完成签到 ,获得积分10
26秒前
26秒前
tanglu发布了新的文献求助10
27秒前
wyp发布了新的文献求助10
30秒前
李喜喜发布了新的文献求助10
30秒前
31秒前
科研通AI2S应助阿衡采纳,获得10
31秒前
啊唔发布了新的文献求助10
31秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 1370
生物降解型栓塞微球市场(按产品类型、应用和最终用户)- 2030 年全球预测 1000
Implantable Technologies 500
Ecological and Human Health Impacts of Contaminated Food and Environments 400
Theories of Human Development 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 360
International Relations at LSE: A History of 75 Years 308
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 计算机科学 内科学 纳米技术 复合材料 化学工程 遗传学 催化作用 物理化学 基因 冶金 量子力学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3921908
求助须知:如何正确求助?哪些是违规求助? 3466730
关于积分的说明 10944393
捐赠科研通 3195511
什么是DOI,文献DOI怎么找? 1765657
邀请新用户注册赠送积分活动 855663
科研通“疑难数据库(出版商)”最低求助积分说明 795039