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Despite the enormous amount of attention CH 3 NH 3 PbI 3 has received, we are still lacking an in-depth understanding of its basic properties. In particular, the directional mechanical and structural characteristics of this material have remained elusive. Here, we investigate these properties by monitoring the propagation of longitudinal and shear phonons following the absorption of a femtosecond

To assess the atmospheric fate of fluorinated compounds, chamber experiments were performed with Fourier transform infrared spectroscopy investigating the products of difluoromethane, CH 2 F 2 , at 296 ± 2 K. The reactions were initiated by reaction of CH 2 F 2 with Cl atoms in the absence and presence of CH 4 or C 2 H 6 in air or O 2 . No evidence of formation of the fluorinated alcohol, CHF 2 O

Aims: The aim was to investigate associations between the experience of parental separation/divorce in childhood and tobacco smoking in adulthood, adjusting for economic stress in childhood and adulthood and psychological health (General Health Questionnaire GHQ12). Methods: The 2012 public-health survey in Skåne, southern Sweden, is a cross-sectional postal questionnaire population-based study wi

Background and Purpose- Psychosocial factors can have implications for ischemic stroke risk and recovery. This study investigated the effect of genetically determined risk of depression on these outcomes using the Mendelian randomization (MR) framework. Methods- Genetic instruments for risk of depression were identified in a discovery genome-wide association study of 246 363 cases and 561 190 cont

In order to study the effects of EG (expanded graphite) content and SiO2 nanoparticles on the specific heat and thermal conductivity of nano-SiO2/NaNO3–KNO3/EG composite heat storage materials, a series of nano-SiO2/NaNO3–KNO3/EG composites are prepared by the aqueous solution-ultrasound oscillation method. The nano-SiO2/NaNO3–KNO3 and EG with different mass fractions (5%, 10%, 15% and 20%) are us

This thesis presents my research journey in the Department of Chemical Physics,Lund University. Multidimensional fluorescence polarization imaging is used to study single LH2s. The method uses linearly polarized excitation light and the emission is detected through a polarizer. The multidimensionality is achieved by rotating the excitation and detection polarizations which enables the construction

Computer-based design analysis is nowadays a common activity in most development projects. Used for design evaluation, verification, validation, or as a support for design exploration, it fulfils an important support function for the engineering designer, thus making it essential to have an operationally efficient and effective integration between both the engineering design and design analysis ac

Interactions between physical bodies constantly affect their properties. This thesis presents a theoretical study on the effects of interaction in few-body nanowire quantum dots. The focus is to a large extent on a phenomenon called Wigner localization, and how this, as well as other interaction effects, can be identified in an experiment by transport spectroscopy and by thermopower measurements.

Traditional empirical formulas of Colburn heat transfer factors will lead to a design deviation for cryogenic heat exchangers. This paper employs the computational fluid dynamics (CFD) technique to numerically study the thermal performance of cryogenic compact heat exchangers (CCHEs). To obtain more precise convective heat transfer coefficients, the heat transfer performance of CCHE with serrated

Fouling on heat exchanger surfaces can weaken the heat-transfer capability, increase the energy consumption, and even cause the failure of the whole system. In coaxial heat exchangers, spirally corrugated tubes perform better than smooth ones concerning heat transfer and antifouling. In this article, a parametric study on the antifouling performance of a six-start spirally corrugated tube is carri

Hardware implementing spiking neural networks (SNNs) has the potential to provide transformative gains in energy efficiency and throughput for energy-restricted machine-learning tasks. This is enabled by large arrays of memristive synapse devices that can be realized by various emerging memory technologies. But in practice, the performance of such hardware is limited by non-ideal features of the m