Synthetic control guided by growth mechanism insights enable tailored precursors for layered oxide cathodes

机制(生物学) 阴极 材料科学 纳米技术 粒子(生态学) 氧化物 控制(管理) 化学工程 组合化学 化学 计算机科学 工程类 冶金 物理 物理化学 人工智能 生物 量子力学 生态学
作者
Haiyan Hu,Yongchun Li,Yan‐Fang Zhu,Haidong Liu,Wei Xiang,Jiazhao Wang,Yao Xiao
出处
期刊:Chemical Science [Royal Society of Chemistry]
卷期号:16 (34): 15714-15722 被引量:2
标识
DOI:10.1039/d5sc04432d
摘要

Comprehending the growth mechanism of precursors is crucial for the industrial fabrication of high-performance LiNi0.8Co0.1Mn0.1O2 (NCM811) cathode materials. Nonetheless, achieving precise control over particle size, morphology, and internal structure remains difficult due to limited understanding of precursor evolution during synthesis. This work tracks real-time reaction parameters and morphological evolution to investigate the growth behavior of Ni0.8Co0.1Mn0.1(OH)2 precursors. Variations in reactant concentration, feed rate, and consumption dynamics affect the observed three-stage growth mechanism of secondary particles. Approximately 2 μm-sized particles are initially generated through nucleation and subsequently aggregate into larger forms. As growth advances, the particle size distribution widens due to continuous nucleation and inhibited aggregation. Primary particles transition from nano-needle to rod-like forms, but their growth becomes increasingly restricted by limited energy and spatial constraints, leading to dense aggregation on pre-existing structures. The intermediate stage emerges as a crucial phase for controlling particle development. Fine-tuning during this stage effectively controls particle coarsening and promotes uniform secondary structures with intricate internal architectures. These observations provide valuable guidance for improving precursor synthesis, allowing for the scalable synthesis of Ni-rich cathode materials with enhanced performance.
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
积极无施完成签到,获得积分10
1秒前
1秒前
2秒前
4秒前
5秒前
panpan发布了新的文献求助10
6秒前
7秒前
谪仙发布了新的文献求助10
7秒前
积极无施发布了新的文献求助20
7秒前
NexusExplorer应助shift采纳,获得10
8秒前
垃圾二硫自组装纳米粒完成签到,获得积分0
8秒前
毛毛菇炒蛋完成签到,获得积分10
9秒前
Song完成签到,获得积分10
10秒前
天天快乐应助CLW采纳,获得10
10秒前
11秒前
Nole应助纯真水壶采纳,获得10
11秒前
小二郎应助聪聪great采纳,获得10
12秒前
yxh020807完成签到 ,获得积分10
12秒前
夜猫子完成签到,获得积分10
13秒前
OK发布了新的文献求助20
15秒前
我是老大应助既白采纳,获得10
16秒前
pluto应助wangjing采纳,获得10
16秒前
16秒前
18秒前
Hello应助C14H10采纳,获得10
19秒前
20秒前
21秒前
一篇吃不饱完成签到,获得积分10
21秒前
懒得理完成签到 ,获得积分10
22秒前
22秒前
liucheng完成签到,获得积分10
23秒前
天天发布了新的文献求助10
23秒前
24秒前
Criminology34应助愉快自中采纳,获得10
25秒前
咎冷亦完成签到,获得积分10
25秒前
既白发布了新的文献求助10
27秒前
27秒前
kll完成签到,获得积分10
30秒前
foxp3完成签到,获得积分10
30秒前
筱xiao完成签到 ,获得积分10
31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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7621633
求助须知:如何正确求助?哪些是违规求助? 9196862
关于积分的说明 19713685
捐赠科研通 7193211
什么是DOI,文献DOI怎么找? 3272864
关于科研通互助平台的介绍 2435316
邀请新用户注册赠送积分活动 2268030