Monte-Carlo study of electronic transport in non-σh-symmetric two-dimensional materials: Silicene and germanene

硅烯 日耳曼 凝聚态物理 散射 声子 物理 电子 材料科学 石墨烯 量子力学 光电子学
作者
Gautam Gaddemane,William G. Vandenberghe,Maarten L. Van de Put,Edward Chen,Massimo V. Fischetti
出处
期刊:Journal of Applied Physics [American Institute of Physics]
卷期号:124 (4) 被引量:31
标识
DOI:10.1063/1.5037581
摘要

The critical role of silicon and germanium in the semiconductor industry, combined with the need for extremely thin channels for scaled electronic devices, has motivated research towards monolayer silicon (silicene) and monolayer germanium (germanene). The lack of horizontal mirror (σh) symmetry in these two-dimensional crystals results in a very strong coupling—in principle diverging—of electrons to long wavelength flexural branch (ZA) phonons. For semi-metallic Dirac materials lacking σh symmetry, like silicene and germanene, this effect is further exacerbated by strong back-scattering at the Dirac cone. In order to gauge the intrinsic transport limitations of silicene and germanene, we perform low- and high-field transport studies using first-principles Monte-Carlo simulations. We take into account the full band structure and solve the electron-phonon matrix elements to treat correctly the material anisotropy and wavefunction overlap-integral effects. We avoid the divergence of the ZA phonon scattering rate through the introduction of an optimistic (1 nm long wavelength) cutoff for the ZA phonons. Even with this cutoff for long-wavelength ZA phonons, essentially prohibiting intravalley scattering, we observe that intervalley ZA phonon scattering dominates the overall transport properties. We obtain relatively large electron mobilities of 701 cm2 V−1 s−1 for silicene and 2327 cm2 V−1 s−1 for germanene. Our results show that silicene and germanene may exhibit electronic transport properties that could surpass those of many other two-dimensional materials, if intravalley ZA phonon scattering could be suppressed.

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
1秒前
1秒前
领导范儿应助析木采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
科研通AI6.1应助陈奕彤采纳,获得10
3秒前
3秒前
无奈的萝发布了新的文献求助10
4秒前
renweibin完成签到,获得积分10
5秒前
6秒前
Wellbeing发布了新的文献求助10
6秒前
6秒前
ssj发布了新的文献求助10
6秒前
星辰大海应助喋喋采纳,获得10
6秒前
怡然的乘风完成签到,获得积分10
6秒前
Lucas应助着急的夜梦采纳,获得100
7秒前
7秒前
7秒前
李健应助大大大同采纳,获得10
8秒前
莫仔完成签到 ,获得积分10
8秒前
边伯贤完成签到,获得积分10
8秒前
lisasasa发布了新的文献求助10
9秒前
zxp完成签到,获得积分10
10秒前
Twonej应助明亮无颜采纳,获得40
11秒前
罗坛坛完成签到,获得积分10
11秒前
隐形曼青应助王悦妍采纳,获得10
11秒前
FAN发布了新的文献求助10
11秒前
边伯贤发布了新的文献求助100
11秒前
无限的晓绿完成签到 ,获得积分10
12秒前
大模型应助西陆采纳,获得10
12秒前
14秒前
14秒前
隐形曼青应助故里采纳,获得10
14秒前
14秒前
Owen应助荀汐采纳,获得10
15秒前
15秒前
彭于晏应助吴心陆采纳,获得20
15秒前
16秒前
赘婿应助虚拟的画板采纳,获得10
17秒前
FAN完成签到,获得积分10
17秒前
拼搏映菡发布了新的文献求助10
17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
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
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 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6148916
求助须知:如何正确求助?哪些是违规求助? 7975725
关于积分的说明 16570828
捐赠科研通 5259207
什么是DOI,文献DOI怎么找? 2808108
邀请新用户注册赠送积分活动 1788381
关于科研通互助平台的介绍 1656789