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Sökning: WFRF:(Janssen Rene) > (2020-2023)

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1.
  • Almora, Osbel, et al. (författare)
  • Device Performance of Emerging Photovoltaic Materials (Version 1)
  • 2020
  • Ingår i: Advanced Energy Materials. - : Wiley. - 1614-6832 .- 1614-6840. ; 11:11
  • Tidskriftsartikel (refereegranskat)abstract
    • Emerging photovoltaics (PVs) focus on a variety of applications complementing large scale electricity generation. Organic, dye-sensitized, and some perovskite solar cells are considered in building integration, greenhouses, wearable, and indoor applications, thereby motivating research on flexible, transparent, semitransparent, and multi-junction PVs. Nevertheless, it can be very time consuming to find or develop an up-to-date overview of the state-of-the-art performance for these systems and applications. Two important resources for recording research cells efficiencies are the National Renewable Energy Laboratory chart and the efficiency tables compiled biannually by Martin Green and colleagues. Both publications provide an effective coverage over the established technologies, bridging research and industry. An alternative approach is proposed here summarizing the best reports in the diverse research subjects for emerging PVs. Best performance parameters are provided as a function of the photovoltaic bandgap energy for each technology and application, and are put into perspective using, e.g., the Shockley–Queisser limit. In all cases, the reported data correspond to published and/or properly described certified results, with enough details provided for prospective data reproduction. Additionally, the stability test energy yield is included as an analysis parameter among state-of-the-art emerging PVs.
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2.
  • Broekman, Maarten J. E., et al. (författare)
  • Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data
  • 2022
  • Ingår i: Global Ecology and Biogeography. - : Wiley. - 1466-822X .- 1466-8238. ; 31:8, s. 1526-1541
  • Tidskriftsartikel (refereegranskat)abstract
    • Aim: Macroecological studies that require habitat suitability data for many species often derive this information from expert opinion. However, expert-based information is inherently subjective and thus prone to errors. The increasing availability of GPS tracking data offers opportunities to evaluate and supplement expert-based information with detailed empirical evidence. Here, we compared expert-based habitat suitability information from the International Union for Conservation of Nature (IUCN) with habitat suitability information derived from GPS-tracking data of 1,498 individuals from 49 mammal species.Location: Worldwide.Time period: 1998-2021.Major taxa studied: Forty-nine terrestrial mammal species.Methods: Using GPS data, we estimated two measures of habitat suitability for each individual animal: proportional habitat use (proportion of GPS locations within a habitat type), and selection ratio (habitat use relative to its availability). For each individual we then evaluated whether the GPS-based habitat suitability measures were in agreement with the IUCN data. To that end, we calculated the probability that the ranking of empirical habitat suitability measures was in agreement with IUCN's classification into suitable, marginal and unsuitable habitat types.Results: IUCN habitat suitability data were in accordance with the GPS data (> 95% probability of agreement) for 33 out of 49 species based on proportional habitat use estimates and for 25 out of 49 species based on selection ratios. In addition, 37 and 34 species had a > 50% probability of agreement based on proportional habitat use and selection ratios, respectively.Main conclusions: We show how GPS-tracking data can be used to evaluate IUCN habitat suitability data. Our findings indicate that for the majority of species included in this study, it is appropriate to use IUCN habitat suitability data in macroecological studies. Furthermore, we show that GPS-tracking data can be used to identify and prioritize species and habitat types for re-evaluation of IUCN habitat suitability data.
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3.
  • Gauld, Jethro G., et al. (författare)
  • Hotspots in the grid : Avian sensitivity and vulnerability to collision risk from energy infrastructure interactions in Europe and North Africa
  • 2022
  • Ingår i: Journal of Applied Ecology. - : John Wiley & Sons. - 0021-8901 .- 1365-2664. ; 59:6, s. 1496-1512
  • Tidskriftsartikel (refereegranskat)abstract
    • Wind turbines and power lines can cause bird mortality due to collision or electrocution. The biodiversity impacts of energy infrastructure (EI) can be minimised through effective landscape-scale planning and mitigation. The identification of high-vulnerability areas is urgently needed to assess potential cumulative impacts of EI while supporting the transition to zero carbon energy. We collected GPS location data from 1,454 birds from 27 species susceptible to collision within Europe and North Africa and identified areas where tracked birds are most at risk of colliding with existing EI. Sensitivity to EI development was estimated for wind turbines and power lines by calculating the proportion of GPS flight locations at heights where birds were at risk of collision and accounting for species' specific susceptibility to collision. We mapped the maximum collision sensitivity value obtained across all species, in each 5 x 5 km grid cell, across Europe and North Africa. Vulnerability to collision was obtained by overlaying the sensitivity surfaces with density of wind turbines and transmission power lines. Results: Exposure to risk varied across the 27 species, with some species flying consistently at heights where they risk collision. For areas with sufficient tracking data within Europe and North Africa, 13.6% of the area was classified as high sensitivity to wind turbines and 9.4% was classified as high sensitivity to transmission power lines. Sensitive areas were concentrated within important migratory corridors and along coastlines. Hotspots of vulnerability to collision with wind turbines and transmission power lines (2018 data) were scattered across the study region with highest concentrations occurring in central Europe, near the strait of Gibraltar and the Bosporus in Turkey. Synthesis and applications. We identify the areas of Europe and North Africa that are most sensitive for the specific populations of birds for which sufficient GPS tracking data at high spatial resolution were available. We also map vulnerability hotspots where mitigation at existing EI should be prioritised to reduce collision risks. As tracking data availability improves our method could be applied to more species and areas to help reduce bird-EI conflicts.
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4.
  • Janssen, Rene, et al. (författare)
  • Machine Learning Predicts the Presence of 2,4,6-Trinitrotoluene in Sediments of a Baltic Sea Munitions Dumpsite Using Microbial Community Compositions
  • 2021
  • Ingår i: Frontiers in Microbiology. - : Frontiers Media SA. - 1664-302X. ; 12
  • Tidskriftsartikel (refereegranskat)abstract
    • Bacteria are ubiquitous and live in complex microbial communities. Due to differences in physiological properties and niche preferences among community members, microbial communities respond in specific ways to environmental drivers, potentially resulting in distinct microbial fingerprints for a given environmental state. As proof of the principle, our goal was to assess the opportunities and limitations of machine learning to detect microbial fingerprints indicating the presence of the munition compound 2,4,6-trinitrotoluene (TNT) in southwestern Baltic Sea sediments. Over 40 environmental variables including grain size distribution, elemental composition, and concentration of munition compounds (mostly at pmol.g(-1) levels) from 150 sediments collected at the near-to-shore munition dumpsite Kolberger Heide by the German city of Kiel were combined with 16S rRNA gene amplicon sequencing libraries. Prediction was achieved using Random Forests (RFs); the robustness of predictions was validated using Artificial Neural Networks (ANN). To facilitate machine learning with microbiome data we developed the R package phyloseq2ML. Using the most classification-relevant 25 bacterial genera exclusively, potentially representing a TNT-indicative fingerprint, TNT was predicted correctly with up to 81.5% balanced accuracy. False positive classifications indicated that this approach also has the potential to identify samples where the original TNT contamination was no longer detectable. The fact that TNT presence was not among the main drivers of the microbial community composition demonstrates the sensitivity of the approach. Moreover, environmental variables resulted in poorer prediction rates than using microbial fingerprints. Our results suggest that microbial communities can predict even minor influencing factors in complex environments, demonstrating the potential of this approach for the discovery of contamination events over an integrated period of time. Proven for a distinct environment future studies should assess the ability of this approach for environmental monitoring in general.
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5.
  • Riccardi, Ludovico, 1993- (författare)
  • Molecular Copper and Ruthenium Water Oxidation Electrocatalysts for Light-Driven Water Splitting
  • 2023
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • In recent years, there has been a growing awareness of the need to transition to renewable energy to mitigate the effects of climate change and reduce greenhouse gas emissions. Governments, businesses, and individuals are investing in renewable energy infrastructure and technologies to create a more sustainable energy future. This thesis explores transition metal-based molecular complexes for water oxidation catalysis and their integration into water-splitting devices. Water oxidation (WO) is a key reaction in all processes intended to produce chemical fuels from water. When water splitting is driven by solar light, it is also referred to as artificial photosynthesis.The work focuses on a molecular copper catalyst with a tetra-amidate macrocyclic ligand (TAML), called [CuMac]2−, which can be isolated as a (Me4N)2[CuMac] salt. Derivatives of the organic ligand scaffold bearing either two ester or two carboxylic acid functionalities were synthesized to enable heterogenization of [CuMac]2−. The compounds were evaluated for their oxygen evolution reaction (OER) activity at different operational pH. However, introducing the carboxylic moieties appeared to be kinetically detrimental to the OER activity compared to that of the parent [CuMac]2−. A study on identifying possible short-lived intermediates in the catalytic cycle of [CuMac]2−is presented. UV-visible transient absorption spectroscopy was used to deduce the electron transfer mechanism and kinetics of catalyst oxidation in an attempt to understand the catalytic cycle's early steps. Using [Ru(bpy)3]Cl2 and persulfate as the photosensitizer and the oxidative quencher, respectively, flash-photolysis was employed to gather evidence of the one-electron oxidized catalyst and to follow intermediates that could previously not be resolved temporally by electrochemical means.Printed electrodes (PEs) were fabricated using graphite as the conductive material and a polymer binder P(MMA-s-HEMA). The PEs were then covalently functionalized with [CuMac]2−using an in-situ electroreduction of the corresponding bis(diazonium) compound (N2)2[CuMac]. The resulting heterogenized catalyst's activity was evaluated by cyclic voltammetry to find that it was impeded compared to that of [CuMac]2− in homogeneous solution phase.Finally, a ruthenium-based coordination oligomer water oxidation catalyst was integrated into a flow-electrolyzer powered by a perovskite/perovskite tandem solar cell to drive water splitting by light. An operational voltage of 1.4 V was achieved, and a solar-to-hydrogen efficiency (STH) of 12.5 %. However, the stability of the system remains to be improved, which could be achieved by changing the membrane separating the two electrolyte compartments. Such adjustments can fine-tune the local pH surrounding the catalyst, which is an essential parameter for catalyst activity and integrity.
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6.
  • Schijven, Dick, et al. (författare)
  • Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium
  • 2023
  • Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences (PNAS). - 0027-8424 .- 1091-6490. ; 120:14
  • Tidskriftsartikel (refereegranskat)abstract
    • Left-right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting in equivocal findings. We carried out the largest case-control study of structural brain asymmetries in schizophrenia, with MRI data from 5,080 affected individuals and 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global and regional cortical thickness, surface area, and subcortical volume measures. Differences of asymmetry were calculated between affected individuals and controls per dataset, and effect sizes were meta-analyzed across datasets. Small average case-control differences were observed for thickness asymmetries of the rostral anterior cingulate and the middle temporal gyrus, both driven by thinner left-hemispheric cortices in schizophrenia. Analyses of these asymmetries with respect to the use of antipsychotic medication and other clinical variables did not show any significant associations. Assessment of age- and sex-specific effects revealed a stronger average leftward asymmetry of pallidum volume between older cases and controls. Case-control differences in a multivariate context were assessed in a subset of the data (N = 2,029), which revealed that 7% of the variance across all structural asymmetries was explained by case-control status. Subtle case-control differences of brain macrostructural asymmetry may reflect differences at the molecular, cytoarchitectonic, or circuit levels that have functional relevance for the disorder. Reduced left middle temporal cortical thickness is consistent with altered left-hemisphere language network organization in schizophrenia.
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7.
  • Wang, Yuming, 1989- (författare)
  • Voltage Losses in Non-fullerene Organic Solar Cells
  • 2020
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Non-fullerene acceptors have significantly boosted the efficiencies of organic solar cells (OSCs) in the past few years. State-of-the-art OSCs have achieved a certificated power conversion efficiency of 17.4%. In spite of significant professes, there is still a gap between efficiencies of OSCs and those of traditional inorganic solar cells and emerging perovskite solar cells. One of the important reasons for this gap is the large voltage losses for OSCs. Understanding and reducing the voltage losses is of critical importance for further improving the performance of the OSCs. This thesis studies the voltage losses of OSCs based on non-fullerene acceptors.The charge transfer (CT) state plays a critical role in the open-circuit voltage (VOC) of the OSCs. According to the reciprocity relation between the electroluminescence (EL) and the external quantum efficiency of solar cells (EQEPV), we know that the sub-bandgap absorbance (responsible for large radiative recombination voltage losses) and the weak emission of CT states (responsible for large non-radiative voltage losses) are the reasons for large voltage losses in fullerene-based OSCs. In addition, the driving force, defined as the difference between the energy of the singlet states and CT states, was considered to be essential for efficient charge generation, especially when the OSC field was dominated by fullerene acceptors. A series of polymer: non-fullerene pairs with different driving forces were studied by spectroscopy methods e.g. Fourier-transfer photocurrent spectroscopy (FTPS) and electroluminescence spectroscopy. It was demonstrated that both radiative recombination voltage loss and the non-radiative energy loss can be suppressed by reducing driving forces, resulting in overall decreased voltage losses of the OSCs.Another question regarding the trade-off between the voltage losses and charge generation is still under debate – is the driving force essential for the efficient charge separation? A novel polymer: non-fullerene system with negligible offsets between both the lowest unoccupied molecular orbital (LUMO) and the highest unoccupied molecular orbital (HOMO) of the donor and acceptor was studied. Although the driving force for the new system is small, it works efficiently. It implies that efficient charge generation can occur with negligible driving forces for both electrons and holes, suggesting that the high VOC and efficient charge generation can be achieved at the same time for non-fullerene OSCs.In addition to binary OSCs, the voltage losses in ternary OSCs are also studied in this thesis. It was found that the VOC of the ternary organic solar cells cannot be well interpreted by the widely used alloy or parallel model. The non-radiative voltage loss, which is not paid much attention in the two models, was found to play an important role in the tunable VOC of the ternary OSCs. We demonstrate that the non-radiative voltage losses in ternary OSCs is dependent on the radiative recombination rates and the energy levels of the CT states of the two constituting binary OSCs. Furthermore, the aggregation of the individual components can be decreased by adding the third component, suppressing the aggregation caused quenching and leading to a reduced non-radiative recombination voltage loss.The non-fullerene based OSCs with small voltage losses show great potential for indoor applications. Although it might be difficult for OSCs to compete with commercial silicon solar cells for harvesting the solar energy, we demonstrate highly efficient and stable non-fullerene OSCs under indoor light, providing a unique application possibility where OSCs can out-compete other photovoltaic technologies. For the indoor application, the OSCs takes advantage of the easily tunable absorption range of the organic semiconductors, and avoids their drawbacks of the instability under strong outdoor light containing ultraviolet light.
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8.
  • Zhou, Yang, et al. (författare)
  • How Photogenerated I2 Induces I-Rich Phase Formation in Lead Mixed Halide Perovskites
  • 2023
  • Ingår i: Advanced Materials. - : WILEY-V C H VERLAG GMBH. - 0935-9648 .- 1521-4095.
  • Tidskriftsartikel (refereegranskat)abstract
    • Bandgap tunability of lead mixed halide perovskites (LMHPs) is a crucial characteristic for versatile optoelectronic applications. Nevertheless, LMHPs show the formation of iodide-rich (I-rich) phase under illumination, which destabilizes the semiconductor bandgap and impedes their exploitation. Here, it is shown that how I-2, photogenerated upon charge carrier trapping at iodine interstitials in LMHPs, can promote the formation of I-rich phase. I-2 can react with bromide (Br-) in the perovskite to form a trihalide ion I2Br- (I delta--I delta+-Br delta-), whose negatively charged iodide (I delta-) can further exchange with another lattice Br- to form the I-rich phase. Importantly, it is observed that the effectiveness of the process is dependent on the overall stability of the crystalline perovskite structure. Therefore, the bandgap instability in LMHPs is governed by two factors, i.e., the density of native defects leading to I-2 production and the Br- binding strength within the crystalline unit. Eventually, this study provides rules for the design of chemical composition in LMHPs to reach their full potential for optoelectronic devices.
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