Polarized nucleation and efficient decomposition of Li2O2 for Ti2C MXene cathode catalyst under a mixed surface condition in lithium-oxygen batteries

材料科学 成核 阴极 催化作用 吸附 化学工程 电化学 纳米技术 动力学 析氧 锂(药物) 化学物理 物理化学 电极 有机化学 化学 内分泌学 工程类 物理 医学 量子力学
作者
Jiajia Li,Kai Han,Jinhua Huang,Gaoyang Li,Shuting Peng,Na Li,Jianchuan Wang,Weibin Zhang,Yong Du,Yuqi Fan,Weiliang Wang,Feng Dang
出处
期刊:Energy Storage Materials [Elsevier]
卷期号:35: 669-678 被引量:102
标识
DOI:10.1016/j.ensm.2020.12.004
摘要

MXene based materials are theoretical predicted as one of the most promising cathode materials for lithium-oxygen batteries due to their unique electronic structure, large surface area and lattice matching with Li2O2, but still be impeded by the lack of high electrocatalytic performance, inhomogeneous surface condition and poor understanding for reaction kinetics and mechanism during ORR/OER process. In the present work, we fabricated the Ti2C MXene decorated with -O and -F multifunctional groups. DFT calculations revealed that the Ti2CO2 surface provided a high efficient single electron reaction pathway for the adsorption-nucleation-decomposition process of Li2O2 acting as the main catalytic sites compared to the Ti2CF2 surface, meanwhile, the bare Ti2C surface degraded the catalytic capability of Ti2C MXene due to the strong chemical binding with Li2O2. Further, the inhomogeneous surface condition was supposed to promote the polarized nucleation and growth of discharge products to form the porous structure from spatial-direction accumulated nanoflakes, which can provide an efficient pathway for mass transfer. As a result, the T2C MXene cathode exhibited excellent performance in terms of superior capacity and long cycle stability. The present work provides intrinsic insights toward the catalytic mechanism and reaction kinetics of Ti2C MXene decorated with multifunctional groups, which contributes to the rational design of high performance MXene based materials in Li-O2 batteries.
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
刚刚
ddddyooo发布了新的文献求助10
4秒前
小蘑菇应助zhang005on采纳,获得10
4秒前
救救我发布了新的文献求助10
4秒前
MOFS发布了新的文献求助10
6秒前
研友_RLNDkZ发布了新的文献求助10
6秒前
纯真以松发布了新的文献求助20
6秒前
科研通AI2S应助搬砖人采纳,获得10
7秒前
7秒前
bin_zhang完成签到,获得积分10
7秒前
8秒前
Owen应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
9秒前
田様应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
李爱国应助科研通管家采纳,获得10
9秒前
9秒前
Twonej应助笑哈哈采纳,获得30
9秒前
在水一方应助从容寄凡采纳,获得10
10秒前
大模型应助iii采纳,获得10
10秒前
10秒前
苹果发布了新的文献求助10
11秒前
12秒前
大个应助叶子采纳,获得10
12秒前
12秒前
紫寻发布了新的文献求助10
13秒前
CodeCraft应助ll采纳,获得10
14秒前
14秒前
LeBron发布了新的文献求助10
14秒前
15秒前
15秒前
闪闪紫发布了新的文献求助10
16秒前
WZH发布了新的文献求助10
16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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6039756
求助须知:如何正确求助?哪些是违规求助? 7771167
关于积分的说明 16227940
捐赠科研通 5185772
什么是DOI,文献DOI怎么找? 2775087
邀请新用户注册赠送积分活动 1757977
关于科研通互助平台的介绍 1641955