Charge transfer at the TiO/quantum dots (QDs) interface, charge collection at the TiO/QDs/current collector (FTO or SnO:F) interface, and back electron transfer at the TiO/QDs/S interface are processes controlled by the electron transport layer or TiO. These key processes control the power conversion efficiencies (PCEs) of quantum dot solar cells (QDSCs). Here, four TiO morphologies, porous nanoparticles (PNPs), nanowires (NWs), nanosheets (NSHs) and nanoparticles (NPs), were sensitized with CdS and the photovoltaic performances were compared. The marked differences in the cell parameters on going from one morphology to the other have been explained by correlating the shape, structure and the above-described interfacial properties of a given TiO morphology to the said parameters. The average magnitudes of PCEs follow the order: NWs (5.96%) > NPs (4.95%) > PNPs (4.85%) > NSHs (2.5%), with the champion cell based on NWs exhibiting a PCE of 6.29%. For NWs, an optimal balance between the fast photo-excited electron injection to NWs at the NW/CdS interface, the high resistance offered at the TiO NW/CdS/S interfaces to electron recombination with the oxidized electrolyte or with the holes in CdS, the low electron transport resistance in NWs, and low dark currents, yields the highest efficiency due to directional unhindered transport of electrons afforded by the NWs. For NSHs, electron trapping in the two dimensional sheets, and a high electron recombination rate prevent the effective transfer of electrons to FTO, thus reducing short circuit current density significantly, resulting in a poor performance. This study provides a deep understanding of charge transfer, transport and collection processes necessary for the design of efficient QDSCs.
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http://dx.doi.org/10.1039/c6cp07364f | DOI Listing |
BMJ Open
December 2024
Regional Rehabilitation Unit, Northwick Park Hospital, London, UK.
Objectives: To adapt and apply a model for evaluating the functional benefits and cost efficiency of specialist inpatient rehabilitation to the Australian context, comparing functional outcomes and savings in the cost of ongoing care after acquired brain injury.
Design: An observational cohort analysis of prospectively collected clinical data from admission to discharge, with follow-up to 3 years.
Setting: A newly established state-wide inpatient postacute rehabilitation unit in Victoria, Australia for patients with moderate to severe acquired brain injury.
Compr Psychoneuroendocrinol
November 2024
School of Social Sciences, University of Westminster, London, UK.
Cortisol awakening response (CAR) research relies upon self-collected saliva sampling during the post-awakening period. It is unknown how the CAR protocol is perceived and how they may affect typical routines relevant to CAR methodology. CAR assessment is sensitive to state variables, suggesting that CAR measurement may be affected by research participation.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Medical Informatics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Background: The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for self-management, which support individuals to take charge of their own health. The usability of DHS, as experienced by patients, is pivotal to adoption.
View Article and Find Full Text PDFBMJ Open
January 2025
Interdisciplinary Center for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Introduction: Dementia is one of the most relevant widespread diseases, with a prevalence of currently 55 million people with dementia worldwide. However, about 60-75% of people with dementia have not yet received a formal diagnosis. Asymptomatic screening of cognitive impairments using neuropsychiatric tests has been proven to efficiently enhance diagnosis rates.
View Article and Find Full Text PDFJ Fluoresc
January 2025
Department of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
This study investigates the electronic properties and photovoltaic (PV) performance of newly designed bithiophene-based dyes, focusing on their light harvesting efficiency (LHE), open-circuit voltage (V), fill factor (FF), and short-circuit current density (J).These new dyes are designed with the help of machine learning (ML) to design best donor acceptor designs. For this, we collect 2567 differenr electron donor groups and calculated their bandgap with the help of Random Forest (RF) Regression method.
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