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We report the effect of weak base addition to acidic polymer hole-collecting layers in normal-type polymer:fullerene solar cells. Varying amounts of the weak base aniline (AN) were added to solutions of poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS). The acidity of the aniline-added PEDOT:PSS solutions gradually decreased from pH = 1.74 (AN = 0 mol% ) to pH = 4.24 (AN = 1.8 mol %). The electrical conductivity of the PEDOT:PSS-AN films did not change much with the pH value, while the ratio of conductivity between out-of-plane and in-plane directions was dependent on the pH of solutions. The highest power conversion efficiency (PCE) was obtained at pH = 2.52, even though all devices with the PEDOT:PSS-AN layers exhibited better PCE than those with the pristine PEDOT:PSS layers. Atomic force microscopy investigation revealed that the size of PEDOT:PSS domains became smaller as the pH increased. The stability test for 100 h illumination under one sun condition disclosed that the PCE decay was relatively slower for the devices with the PEDOT:PSS-AN layers than for those with pristine PEDOT:PSS layers.
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http://dx.doi.org/10.3390/molecules22020262 | DOI Listing |
ACS Omega
September 2025
Departamento de Física y Química Teórica, Facultad de Química, Universidad Nacional Autónoma de México, Cd. Universitaria, 04510 Ciudad de Mexico, Mexico.
In this study, we introduce a set of novel computational strategies based on second-order Mo̷ller-Plesset perturbation theory (MP2), enhanced through acceleration techniques, such as the resolution of the identity (RI). These approaches are further refined via spin-component scaling (SCS), following Grimme's methodology, and are specifically calibrated for the quantitatively accurate prediction of weak interaction energiesinteractions that play a critical role in biological systems. Among the developed methods, three variants exhibit outstanding performance, surpassing the accuracy of several state-of-the-art, nondynamical electronic structure techniques.
View Article and Find Full Text PDFStat Med
September 2025
Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, India.
Gene-environment (GxE) interactions crucially contribute to complex phenotypes. The statistical power of a GxE interaction study is limited mainly due to weak GxE interaction effect sizes. Joint tests of the main genetic and GxE effects for a univariate phenotype were proposed to utilize the individually weak GxE effects to improve the discovery of associated genetic loci.
View Article and Find Full Text PDFPublic Health Res (Southampt)
September 2025
Senior Housing Renewal Officer, Fairer Housing Unit, Civic Centre, Newcastle upon Tyne, UK.
Background: Tackling climate change, together with improving indoor air quality, offers a significant opportunity to improve residents' health and well-being. This requires the evidence base to inform an energy-efficient retrofit design.
Objectives: (i) To develop a protocol that could be implemented by local authorities across a range of housing typologies and (ii) to deploy this protocol to establish baseline conditions in = 30 homes ahead of energy-efficient retrofitting.
Langmuir
September 2025
School of Materials Science and Engineering, North Minzu University, Yinchuan 750021, P. R. China.
Understanding the mechanism of action of graphene oxide (GO)-based lubrication materials is of great significance to effectively suppress the surface damage accumulation of bearing steel during service. However, GO typically exhibits weak interfacial adsorption and poor dispersion stability, severely limiting its ability to form a dynamic tribofilm during friction. In this study, we synthesized an efficient lubricant, oleylamine-grafted chlorinated graphene (OA/Cl-GO), using GO as the carrier and introducing lipophilic terminal groups through chlorination and interfacial covalent modification.
View Article and Find Full Text PDFJ Comput Graph Stat
September 2025
Department of Biostatistics, New York University.
In this work, we develop a new ensemble learning framework, (mRaSE), for multi-label classification. Given a base classifier (e.g.
View Article and Find Full Text PDF