Bimolecular Reaction Mechanism in the Amido Complex-Based Atomic Layer Deposition of HfO2
CHEMISTRY OF MATERIALS(2023)
Lund Univ | Univ Maryland | Sorbonne Univ | Ctr Funct Nanomat
Abstract
The surface chemistry of the initial growth during the first or first few precursor cycles in atomic layer deposition is decisive for how the growth proceeds later on and thus for the quality of the thin films grown. Yet, although general schemes of the surface chemistry of atomic layer deposition have been developed for many processes and precursors, in many cases, knowledge of this surface chemistry remains far from complete. For the particular case of HfO2 atomic layer deposition on a SiO2 surface from an alkylamido-hafnium precursor and water, we address this lack by carrying out an operando atomic layer deposition experiment during the first cycle of atomic layer deposition. Ambient-pressure X-ray photoelectron spectroscopy and density functional theory together show that the decom-position of the metal precursor on the stoichiometric SiO2 surface in the first half-cycle of atomic layer deposition proceeds via a bimolecular reaction mechanism. The reaction leads to the formation of Hf-bonded methyl methylene imine and free dimethylamine. In addition, ligand exchange takes place involving the surface hydroxyls adsorbed at defect sites of the SiO2 surface.
MoreTranslated text
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
Resolving the Heat Generated from ZrO2 Atomic Layer Deposition Surface Reactions.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION 2023
被引用7
Time Evolution of Surface Species During the ALD of High-K Oxide on InAs
SURFACES AND INTERFACES 2023
被引用6
ELECTRONICS 2023
被引用2
Applied Surface Science 2023
被引用1
Surfaces and Interfaces 2024
被引用0
Chemisorption and Surface Reaction of Hafnium Precursors on the Hydroxylated Si(100) Surface
COATINGS 2023
被引用1
Operando Study of HfO2 Atomic Layer Deposition on Partially Hydroxylated Si(111)
JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A 2024
被引用4
SURFACES AND INTERFACES 2024
被引用1
JOURNAL OF SCIENCE-ADVANCED MATERIALS AND DEVICES 2024
被引用4
JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A 2024
被引用0
SURFACE SCIENCE 2025
被引用0
ACS APPLIED ENERGY MATERIALS 2024
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper