Design of novel nanowire (NW) based semiconductor devices requires deep understanding and technological control of NW growth. Therefore, quantitative feedback over the structure evolution of the NW ensemble during growth is highly desirable. We analyse and compare the methodical potential of reflection high-energy electron diffraction (RHEED) and X-ray diffraction reciprocal space imaging (XRD) for in situ growth characterization during molecular-beam epitaxy (MBE). Simultaneously recorded in situ RHEED and in situ XRD intensities show strongly differing temporal behaviour and provide evidence of the highly complementary information value of both diffraction techniques. Exploiting the complementarity by a correlative data analysis presently offers the most comprehensive experimental access to the growth dynamics of statistical NW ensembles under standard MBE growth conditions. In particular, the combination of RHEED and XRD allows for translating quantitatively the time-resolved information into a height-resolved information on the crystalline structure without a priori assumptions on the growth model. Furthermore, we demonstrate, how careful analysis of in situ RHEED if supported by ex situ XRD and scanning electron microscopy (SEM), all usually available at conventional MBE laboratories, can also provide highly quantitative feedback on polytypism during growth allowing validation of current vapour-liquid-solid (VLS) growth models.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1039/d1nr02320a | DOI Listing |
Nano Lett
November 2024
Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Materials synthesis optimization is constrained by serial feedback processes that rely on manual tools and intuition across multiple siloed modes of characterization. We automate and generalize feature extraction of reflection high-energy electron diffraction (RHEED) data with machine learning to establish quantitatively predictive relationships in small sets (∼10) of expert-labeled data, saving significant time on subsequently grown samples. These predictive relationships are evaluated in a representative material system (WVSe on c-plane sapphire (0001)) with two aims: 1) predicting grain alignment of the deposited film using pregrowth substrate data and 2) estimating vanadium dopant concentration using in situ RHEED as a proxy for ex situ methods (e.
View Article and Find Full Text PDFRev Sci Instrum
November 2024
Department of Materials Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, USA.
We report the design, fabrication, and testing of an atomic layer deposition (ALD) system that is capable of reflection high energy electron diffraction (RHEED) in a single chamber. The details and specifications of the system are described and include capabilities of RHEED at varied accelerating voltages, sample rotation (azimuthal) control, sample height control, sample heating up to set temperatures of 1050 °C, and either single- or dual-differential pumping designs. Thermal and flow simulations were used to justify selected system dimensions as well as carrier gas/precursor mass flow rates.
View Article and Find Full Text PDFSci Rep
March 2024
Department of Applied Physics, National University of Kaohsiung, 700 Kaohsiung University Road, Kaohsiung, 81148, Taiwan, ROC.
Integrating two-dimensional (2D) layered materials with wide bandgap β-GaO has unveiled impressive opportunities for exploring novel physics and device concepts. This study presents the epitaxial growth of 2D β-InSe/3D β-GaO heterostructures on c-Sapphire substrates by plasma-assisted molecular beam epitaxy. Firstly, we employed a temperature-dependent two-step growth process to deposit GaO and obtained a phase-pure β-GaO film on c-Sapphire.
View Article and Find Full Text PDFNanomaterials (Basel)
March 2023
Centre of Physics of Minho and Porto Universities (CF-UM-PT), University of Minho, 4804-533 Guimarães, Portugal.
Surface atomic arrangement and physical properties of aluminum ultrathin layers on c-Si(111)-7 × 7 and hydrogen-terminated c-Si(111)-1 × 1 surfaces deposited using molecular beam epitaxy were investigated. X-ray photoelectron spectroscopy spectra were collected in two configurations (take-off angle of 0° and 45°) to precisely determine the surface species. Moreover, 3D atomic force microscopy (AFM) images of the air-exposed samples were acquired to investigate the clustering formations in film structure.
View Article and Find Full Text PDFNano Converg
February 2023
Department of Physics, University of Seoul, Seoul, 02504, Republic of Korea.
In situ reflective high-energy electron diffraction (RHEED) is widely used to monitor the surface crystalline state during thin-film growth by molecular beam epitaxy (MBE) and pulsed laser deposition. With the recent development of machine learning (ML), ML-assisted analysis of RHEED videos aids in interpreting the complete RHEED data of oxide thin films. The quantitative analysis of RHEED data allows us to characterize and categorize the growth modes step by step, and extract hidden knowledge of the epitaxial film growth process.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!