Towards energy filtering in Mg2X-based composites: Investigating local carrier concentration and band alignment via SEM/EDX and transient Seebeck microprobe analysis

材料科学 热电效应 塞贝克系数 热电材料 带偏移量 掺杂剂 波段图 复合数 载流子 带隙 复合材料 光电子学 兴奋剂 热导率 热力学 价带 物理
作者
Sanyukta Ghosh,Harshita Naithani,Byungki Ryu,Gregor Oppitz,Eckhard Müller,Johannes de Boor
出处
期刊:Materials Today Physics [Elsevier]
卷期号:38: 101244-101244 被引量:3
标识
DOI:10.1016/j.mtphys.2023.101244
摘要

A comprehensive understanding of multi-phase materials requires the characterization of transport properties at the micro/nano-scale. Optimized alignments of the conduction bands and valence bands at the interfaces of multi-phase materials can enhance the properties of thermoelectric materials by filtering out undesired charge carriers and is a promising path towards high performance thermoelectric devices. Here, a micro-scale characterization technique using transient Seebeck microprobe analysis, scanning electron microscopy with energy-dispersive X-ray spectroscopy, and electronic transport modelling based on the Boltzmann transport equation modeling is introduced to assess the band diagram and estimate the band offset in multi-phase materials. This characterization technique is applied to a composite of magnesium silicide-based materials. This material class is prone to form self-assembling nano-structured composites driven by a miscibility gap in the solid solutions series. Our analysis reveals changes in carrier concentration upon composite formation and considerable band offsets for both conduction and valence band when synthesizing nominally undoped composites. Employing Bi as dopant we show that Bi exhibits a preference for the Sn-rich phase, changing the carrier concentration differently in the Sn-rich matrix phase compared to the Si-rich secondary phase, effectively altering the band alignment of the composite. This demonstrates that our approach can be utilized to measure and manipulate the band offset within the composite to achieve optimal thermoelectric performance.

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
脑洞疼应助陈陈采纳,获得10
1秒前
1秒前
开心每一天完成签到,获得积分10
1秒前
跳跃的风完成签到,获得积分10
2秒前
tianliyan发布了新的文献求助10
3秒前
3秒前
鲤鱼易真发布了新的文献求助10
3秒前
3秒前
3秒前
香蕉觅云应助乔木采纳,获得10
3秒前
SciGPT应助鱼王木木采纳,获得10
3秒前
斑马鱼哥完成签到,获得积分10
3秒前
具体问题具体分析完成签到,获得积分10
4秒前
赘婿应助钱罐罐采纳,获得10
4秒前
5秒前
谓风完成签到,获得积分10
5秒前
5秒前
米亚宽发布了新的文献求助10
6秒前
lei发布了新的文献求助10
6秒前
陈陈完成签到,获得积分10
6秒前
计可盈发布了新的文献求助30
7秒前
7秒前
小妮子完成签到,获得积分10
8秒前
wuwu发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
tlrelax完成签到,获得积分10
9秒前
junge发布了新的文献求助10
9秒前
10秒前
C.Cat完成签到,获得积分10
10秒前
Echo发布了新的文献求助10
10秒前
波波应助FengqIan采纳,获得10
10秒前
10秒前
壳壳13完成签到,获得积分10
10秒前
Alfred完成签到,获得积分10
11秒前
贪玩的秋柔应助开元采纳,获得10
11秒前
111应助fanfan采纳,获得10
11秒前
希望天下0贩的0应助流云采纳,获得10
12秒前
韩达大完成签到 ,获得积分10
12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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016908
求助须知:如何正确求助?哪些是违规求助? 7600204
关于积分的说明 16154242
捐赠科研通 5164682
什么是DOI,文献DOI怎么找? 2764737
邀请新用户注册赠送积分活动 1745819
关于科研通互助平台的介绍 1635022