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1.
J Phys Chem C Nanomater Interfaces ; 127(19): 9425-9436, 2023 May 18.
Article in English | MEDLINE | ID: mdl-37223651

ABSTRACT

Fine control over the growth of materials is required to precisely tailor their properties. Spatial atomic layer deposition (SALD) is a thin-film deposition technique that has recently attracted attention because it allows producing thin films with a precise number of deposited layers, while being vacuum-free and much faster than conventional atomic layer deposition. SALD can be used to grow films in the atomic layer deposition or chemical vapor deposition regimes, depending on the extent of precursor intermixing. Precursor intermixing is strongly influenced by the SALD head design and operating conditions, both of which affect film growth in complex ways, making it difficult to predict the growth regime prior to depositions. Here, we used numerical simulation to systematically study how to rationally design and operate SALD systems for growing thin films in different growth regimes. We developed design maps and a predictive equation allowing us to predict the growth regime as a function of the design parameters and operation conditions. The predicted growth regimes match those observed in depositions performed for various conditions. The developed design maps and predictive equation empower researchers in designing, operating, and optimizing SALD systems, while offering a convenient way to screen deposition parameters, prior to experimentation.

2.
JMIR Res Protoc ; 11(5): e34071, 2022 May 25.
Article in English | MEDLINE | ID: mdl-35612890

ABSTRACT

BACKGROUND: Expanding the cooperation and enlarging the participation of more diverse stakeholders within innovation ecosystems will increase their efficiency and capacity to contribute at local, regional, and national levels. OBJECTIVE: This paper presents the protocol for a systematic review that will identify "opening-up" strategies of innovation ecosystems for increasing the participation of more diverse innovation stakeholders, particularly from low-innovation countries, during the ecosystem formation period. METHODS: An algorithmic search in 4 databases (Web of Science, Cochrane Library, Scopus, and Social Science Research Network) will be applied based on the PerSPecTIF (perspective, setting, phenomenon of interest/problem, environment, optional comparison, time/timing, and findings) methodology, the Cochrane guidelines for qualitative evidence synthesis, and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Selection criteria for eligibility include peer-reviewed articles published after December 31, 1999, and containing original data. No restrictions will be placed on the article language and study region, design, or methodology. Methodological strengths and limitations will be assessed using the Critical Appraisal Skills Programme tool. The thematic synthesis method will be adopted, and the GRADE-CERQual tool will be used to assess confidence. RESULTS: A preliminary search in Web of Science revealed 2758 records. This work is part of the ANGIE project, which was funded by the European Union's Horizon 2020 research and innovation program (grant 952152) in January 2021. We anticipate that the results of this systematic review will be published in spring 2022. CONCLUSIONS: We anticipate that the outcomes of this systematic review will outline the best practices used by initiatives and networks, as well as their impacts on creating larger and more inclusive ecosystems. TRIAL REGISTRATION: OSF Registries osf.io/hc62k 10.17605/OSF.IO/HC62K. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/34071.

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