Electrostatic doping of 2D semiconductors using charged dielectric thin films
ACS Nano American Chemical Society 20:29 (2026) 20787-20797
Abstract:
Doping two-dimensional (2D) semiconductors without direct chemical or structural modification of the channel remains a central challenge for device integration. Here we demonstrate an electrostatic doping strategy on monolayer MoS2 based on embedding fixed charge in engineered dielectric stacks, enabling carrier modulation in the absence of volatile external bias. By comparing different dielectric architectures, we show that effective electrostatic doping is governed by the defect landscape of the capping dielectrics and their interface with the 2D channel. A self-consistent electrostatic model reveals that interface states control the partitioning of the dielectric embedded charge between carriers trapped in defects or free for conduction in the channel, posing limits to the effectiveness of electrostatic coupling. This work establishes electrostatic doping as a viable strategy for carrier modulation in 2D semiconductors and identifies dielectric defect engineering as central to its implementation.Data in support of Transparent conducting electrodes for perovskite–silicon tandem solar cells
University of Oxford (2026)
Abstract:
The files in this deposit contain the data used to generate and support the results, tables and figures reported in the associated publication. The research data were created during the experimental, computational and analytical work undertaken for the study as detailed in the main manuscript. Where necessary, the original data were processed, converted and organised into tabulated or structured data files to facilitate reuse, verification and visualisation. Tabulated source data for the figures presented in the publication are included wherever applicable. The deposited files may include Microsoft Excel workbooks, comma-separated value files, MATLAB `.mat` files, NumPy data files, Origin project or worksheet files, and other standard tabulated or structured data formats. Data are generally stored as tables, arrays, structures or data frames, with column headings, variable names, units and relevant metadata included where available. Excel and CSV files can be opened using standard spreadsheet or data-analysis software. MATLAB `.mat` files may be opened using MATLAB or compatible software capable of reading MATLAB data formats. NumPy files may be opened using Python with NumPy or other compatible scientific-computing software. Origin files may require Origin or OriginPro, although equivalent tabulated data are provided where possible to support access using other software. The data may be replotted, analysed or visualised using any suitable spreadsheet, programming, scientific-computing or graphing software that supports the relevant file format. No bespoke software is required unless specifically stated in the accompanying file-level documentation.Transparent conducting electrodes for perovskite–silicon tandem solar cells
Nature Reviews Physics Springer Nature 8:6 (2026) 344-364
Abstract:
Transparent conducting electrodes (TCEs) combine high optical transmittance and electrical conductivity, and are an essential component of tandem solar cells. Although tandem cells offer a pathway to power conversion efficiencies exceeding 40% at low cost, they introduce new challenges for TCE design. Achieving the required balance of optical, electrical and chemical properties has so far limited practical TCEs in tandems to a small set of high-cost, indium-based oxides. Recent advances in computational and experimental techniques have improved understanding of TCE solid-state physics, revealing promising alternative materials. In this Review, we examine the material properties essential for TCEs in perovskite–silicon tandems, evaluate current candidates, and highlight the key challenges and opportunities for next-generation TCE development. Our goal is to bridge the gap between materials science and device engineering, providing a roadmap to accelerate the integration of advanced TCEs in high-efficiency optoelectronic devices.Data for Electrostatic doping of 2D semiconductors using charged dielectric thin films
University of Oxford (2026)
Abstract:
The files in this deposit contain the data used to generate and support the results, tables and figures reported in the associated publication. The research data were created during the experimental, computational and analytical work undertaken for the study as detailed in the main manuscript. Where necessary, the original data were processed, converted and organised into tabulated or structured data files to facilitate reuse, verification and visualisation. Tabulated source data for the figures presented in the publication are included wherever applicable. The deposited files may include Microsoft Excel workbooks, comma-separated value files, MATLAB `.mat` files, NumPy data files, Origin project or worksheet files, and other standard tabulated or structured data formats. Data are generally stored as tables, arrays, structures or data frames, with column headings, variable names, units and relevant metadata included where available. Excel and CSV files can be opened using standard spreadsheet or data-analysis software. MATLAB `.mat` files may be opened using MATLAB or compatible software capable of reading MATLAB data formats. NumPy files may be opened using Python with NumPy or other compatible scientific-computing software. Origin files may require Origin or OriginPro, although equivalent tabulated data are provided where possible to support access using other software. The data may be replotted, analysed or visualised using any suitable spreadsheet, programming, scientific-computing or graphing software that supports the relevant file format. No bespoke software is required unless specifically stated in the accompanying file-level documentation.Impact of precursor dosing on the surface passivation of AZO/AlOx stacks formed using atomic layer deposition
Energy Advances Royal Society of Chemistry 4 (2025) 553-564