Graphene‐Based Hybrid Functional Materials

石墨烯 纳米技术 材料科学 纳米材料 数码产品 灵活性(工程) 超级电容器 电容 化学 电极 数学 统计 物理化学
作者
Cosimo Anichini,Paolo Samorı́
出处
期刊:Small [Wiley]
卷期号:17 (33) 被引量:45
标识
DOI:10.1002/smll.202100514
摘要

Abstract Graphene is a 2D material combining numerous outstanding physical properties, including high flexibility and strength, extremely high thermal conductivity and electron mobility, transparency, etc., which make it a unique testbed to explore fundamental physical phenomena. Such physical properties can be further tuned by combining graphene with other nanomaterials or (macro)molecules to form hybrid functional materials, which by design can display not only the properties of the individual components but also exhibit new properties and enhanced characteristics arising from the synergic interaction of the components. The implementation of the hybrid approach to graphene also allows boosting the performances in a multitude of technological applications. This review reports the hybrids formed by graphene combined with other low‐dimensional nanomaterials of diverse dimensionality (0D, 1D, and 2D) and (macro)molecules, with emphasis on the synthetic methods. The most important applications of these hybrids in the fields of sensing, water purification, energy storage, biomedical, (photo)catalysis, and opto(electronics) are also reviewed, with a special focus on the superior performances of these hybrids compared to the individual, nonhybridized components.
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
Foxjker完成签到 ,获得积分10
1秒前
yifan21完成签到,获得积分10
3秒前
搜集达人应助书一卷采纳,获得20
4秒前
大模型应助zw采纳,获得10
5秒前
bofu发布了新的文献求助10
10秒前
10秒前
FashionBoy应助斯文的傲珊采纳,获得10
11秒前
xxx发布了新的文献求助10
12秒前
Lindsay发布了新的文献求助10
14秒前
zw发布了新的文献求助10
15秒前
shezhinicheng发布了新的文献求助10
16秒前
bofu发布了新的文献求助10
16秒前
ylky完成签到 ,获得积分10
19秒前
20秒前
22秒前
bofu发布了新的文献求助10
23秒前
23秒前
保持理智完成签到,获得积分10
27秒前
zw完成签到,获得积分10
28秒前
28秒前
情怀应助Nora采纳,获得10
29秒前
30秒前
shezhinicheng完成签到,获得积分10
31秒前
小蘑菇应助心神依然采纳,获得10
31秒前
小二郎应助wsw采纳,获得10
32秒前
34秒前
35秒前
魔幻沛菡完成签到 ,获得积分10
36秒前
顺利的奇异果完成签到,获得积分10
37秒前
38秒前
shinysparrow应助灵竹采纳,获得80
38秒前
背后归尘完成签到,获得积分10
39秒前
40秒前
Mry完成签到,获得积分10
43秒前
45秒前
45秒前
Muhammad发布了新的文献求助10
45秒前
慈祥的冰淇淋完成签到,获得积分10
46秒前
46秒前
xiaojian_291发布了新的文献求助10
50秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
The Burge and Minnechaduza Clarendonian mammalian faunas of north-central Nebraska 206
Fatigue of Materials and Structures 200
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 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3831561
求助须知:如何正确求助?哪些是违规求助? 3373738
关于积分的说明 10481304
捐赠科研通 3093686
什么是DOI,文献DOI怎么找? 1702949
邀请新用户注册赠送积分活动 819237
科研通“疑难数据库(出版商)”最低求助积分说明 771307