Big-data for nano-electronics

纳米电子学大数据

• 批准号: MR/T021519/1
• 负责人: Patrick Parkinson
• 金额: $ 135.11万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FT021519%2F1
• 关键词: Big; data; nano; electronics

Demand for high density, integrated electronics has become a defining feature of modern technology. At its ultimate limit, nanotechnology can enable low-cost and highly scalable sensors, computing elements, and lighting. The industrial benefits are clear - in particular bottom-up fabrication allows for high-level functionality and huge production scale at low cost. As this production technique emerges from the laboratory and into industry, issues such as yield, heterogeneity, and functional parameter spread have emerged as a critical aspect for efficacy to be established in advanced nanomaterials.To date, no framework exists for studying inhomogeneity in functional nano-electronics. I will combine highly-scaled measurements with cutting-edge data techniques to establish a gold-standard methodology for functional nanotechnology development, enabling industrial take-up. This will build on experimental approaches that I have recently demonstrated, including machine-vision identification of nanomaterials and automated electronic and optical spectroscopy, alongside computational approaches for rapid and technique-independent re-identification of single nanoparticles. I will implement analytics which draw on existing population-study methods such as linear and multivariate correlation; a specific goal of this project is to translate advanced techniques from diverse fields including astrophysics and health research, and in particular apply Bayesian analysis for model identification and augmented intelligence (including machine learning methods) where appropriate. These methodologies will be developed to study cutting edge challenges in functional nanomaterials; starting with the development of lasers for chip-to-chip communication, and the production of an industrially relevant capability for single-particle nanotechnology characterisation. By bringing this methodology together with pick-and-place capability through project partners, this project will enable demonstration of extremely low-yield yet transformative devices based on novel nanotechnology, for sensing, telecommunication or quantum devices.

对高密度、集成电子产品的需求已成为现代技术的一个显著特征。在其极限，纳米技术可以使低成本和高度可扩展的传感器，计算元件和照明。工业效益是显而易见的，特别是自下而上的制造允许以低成本实现高水平的功能和巨大的生产规模。随着这种生产技术从实验室走向工业，产量、异质性和功能参数扩散等问题已经成为在先进纳米材料中建立功效的关键方面。到目前为止，还没有研究功能纳米电子学中的非均匀性的框架。我将把大规模的测量与尖端的数据技术结合起来，为功能性纳米技术的发展建立一个黄金标准的方法，使工业应用成为可能。这将建立在我最近展示的实验方法的基础上，包括纳米材料的机器视觉识别和自动化电子和光学光谱，以及用于快速和技术独立的单个纳米颗粒重新识别的计算方法。我将利用现有的人口研究方法（如线性和多元相关）实施分析；该项目的一个具体目标是转化来自不同领域的先进技术，包括天体物理学和健康研究，特别是在适当情况下将贝叶斯分析应用于模型识别和增强智能（包括机器学习方法）。这些方法将用于研究功能纳米材料的前沿挑战；首先是开发用于芯片对芯片通信的激光器，以及生产用于单粒子纳米技术表征的工业相关能力。通过项目合作伙伴将这种方法与拾取放置能力结合起来，该项目将能够展示基于新型纳米技术的极低产量但具有变革性的设备，用于传感、电信或量子设备。

项目成果

Disentangling the Impact of Point Defect Density and Carrier Localization-Enhanced Auger Recombination on Efficiency Droop in (In,Ga)N/GaN Quantum Wells.

• DOI: 10.1021/acsphotonics.3c00355
• 发表时间: 2023-08-16
• 期刊: ACS PHOTONICS
• 影响因子: 7
• 作者: Barrett, R. M.;McMahon, J. M.;Ahumada-Lazo, R.;Alanis, J. A.;Parkinson, P.;Schulz, S.;Kappers, M. J.;Oliver, R. A.;Binks, D.
• 通讯作者: Binks, D.

Holistic Determination of Optoelectronic Properties using High-Throughput Spectroscopy of Surface-Guided CsPbBr3 Nanowires.

• DOI: 10.1021/acsnano.2c01086
• 发表时间: 2022-06-28
• 期刊: ACS NANO
• 影响因子: 17.1
• 作者: Church, Stephen A.;Choi, Hoyeon;Al-Amairi, Nawal;Al-Abri, Ruqaiya;Sanders, Ella;Oksenberg, Eitan;Joselevich, Ernesto;Parkinson, Patrick W.
• 通讯作者: Parkinson, Patrick W.

Facet-Related Non-uniform Photoluminescence in Passivated GaAs Nanowires.

• DOI: 10.3389/fchem.2020.607481
• 发表时间: 2020
• 期刊: Frontiers in chemistry
• 影响因子: 5.5
• 作者: Jiang N;Joyce HJ;Parkinson P;Wong-Leung J;Tan HH;Jagadish C
• 通讯作者: Jagadish C

Self-Catalyzed AlGaAs Nanowires and AlGaAs/GaAs Nanowire-Quantum Dots on Si Substrates.

• DOI: 10.1021/acs.jpcc.1c03680
• 发表时间: 2021-07-08
• 期刊: The journal of physical chemistry. C, Nanomaterials and interfaces
• 作者: Boras G;Yu X;Fonseka HA;Davis G;Velichko AV;Gott JA;Zeng H;Wu S;Parkinson P;Xu X;Mowbray D;Sanchez AM;Liu H
• 通讯作者: Liu H

Holistic Nanowire Laser Characterization as a Route to Optimal Design

• DOI: 10.1002/adom.202202476
• 发表时间: 2023-01-27
• 期刊: ADVANCED OPTICAL MATERIALS
• 影响因子: 9
• 作者: Church, Stephen A.;Patel, Nikesh;Parkinson, Patrick
• 通讯作者: Parkinson, Patrick