Li‐Ion Transport Mechanisms in Selenide‐Based Solid‐State Electrolytes in Lithium‐Metal Batteries: A Study of Li8SeN2, Li7PSe6, and Li6PSe5X (X = Cl, Br, I)

硒化物 锂(药物) 化学 电解质 金属锂 物理化学 电极 有机化学 医学 内分泌学
作者
Wenshan Xiao,Ming-Wei Wu,Huan Wang,Yan Zhao,Qiu He
出处
期刊:Energy & environmental materials 被引量:1
标识
DOI:10.1002/eem2.12729
摘要

To achieve high‐energy‐density and safe lithium‐metal batteries (LMBs), solid‐state electrolytes (SSEs) that exhibit fast Li‐ion conductivity and good stability against lithium metal are of great importance. This study presents a systematic exploration of selenide‐based materials as potential SSE candidates. Initially, Li 8 SeN 2 and Li 7 PSe 6 were selected from 25 ternary selenides based on their ability to form stable interfaces with lithium metal. Subsequently, their favorable electronic insulation and mechanical properties were verified. Furthermore, extensive theoretical investigations were conducted to elucidate the fundamental mechanisms underlying Li‐ion migration in Li 8 SeN 2 , Li 7 PSe 6 , and derived Li 6 PSe 5 X (X = Cl, Br, I). Notably, the highly favorable Li‐ion conduction mechanism of vacancy diffusion was identified in Li 6 PSe 5 Cl and Li 7 PSe 6 , which exhibited remarkably low activation energies of 0.21 and 0.23 eV, and conductivity values of 3.85 × 10 −2 and 2.47 × 10 −2 S cm −1 at 300 K, respectively. In contrast, Li‐ion migration in Li 8 SeN 2 was found to occur via a substitution mechanism with a significant diffusion energy barrier, resulting in a high activation energy and low Li‐ion conductivity of 0.54 eV and 3.6 × 10 −6 S cm −1 , respectively. Throughout this study, it was found that the ab initio molecular dynamics and nudged elastic band methods are complementary in revealing the Li‐ion conduction mechanisms. Utilizing both methods proved to be efficient, as relying on only one of them would be insufficient. The discoveries made and methodology presented in this work lay a solid foundation and provide valuable insights for future research on SSEs for LMBs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
吴颖发布了新的文献求助10
3秒前
3秒前
3秒前
自由幻儿完成签到,获得积分10
3秒前
Rigel发布了新的文献求助10
4秒前
我是老大应助江上清风游采纳,获得10
5秒前
小二郎应助褚明雪采纳,获得10
6秒前
shdhdu完成签到,获得积分20
6秒前
无奈的书琴完成签到 ,获得积分10
7秒前
Wmt完成签到,获得积分20
7秒前
小马甲应助勤奋的兔子采纳,获得10
8秒前
8秒前
传奇3应助雨碎寒江采纳,获得10
8秒前
星河发布了新的文献求助10
8秒前
10秒前
10秒前
10秒前
10秒前
11秒前
我是老大应助谨慎小虾米采纳,获得10
11秒前
12秒前
勤恳丹寒发布了新的文献求助10
12秒前
严珍珍完成签到 ,获得积分10
12秒前
14秒前
徐徐发布了新的文献求助10
15秒前
nanfeng发布了新的文献求助10
16秒前
研友_GZb9an完成签到,获得积分10
18秒前
科研通AI2S应助软绵绵采纳,获得30
19秒前
清秀笑晴完成签到 ,获得积分10
20秒前
20秒前
20秒前
22秒前
FashionBoy应助12345采纳,获得10
22秒前
24秒前
24秒前
吴颖完成签到,获得积分10
25秒前
逢考必过发布了新的文献求助10
25秒前
火星上盼山完成签到,获得积分10
25秒前
CodeCraft应助nanfeng采纳,获得10
25秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3129330
求助须知:如何正确求助?哪些是违规求助? 2780114
关于积分的说明 7746436
捐赠科研通 2435295
什么是DOI,文献DOI怎么找? 1294036
科研通“疑难数据库(出版商)”最低求助积分说明 623516
版权声明 600542