Advanced Materials, EarlyView.Associating a red‐NIR phosphorescent octahedral hexanuclear molybdenum cluster compound with hexaethyleneoxide chains bearing mesogenic units on both ends leads to an emissive hybrid liquid crystal showing mesomorphism on a very unusual temperature range down to −25°C.
Killiann Heinz +11 more
wiley +1 more source
Advanced Materials, EarlyView.The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Advanced Materials, EarlyView.Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
Advanced Materials, EarlyView.“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Feasibility of dual-energy CBCT material decomposition in the human torso with 2D anti-scatter grids and grid-based scatter sampling. [PDF]
Med PhysAltunbas C.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Correction to: Feasibility study of deep-learning-based bone suppression incorporated with single-energy material decomposition technique in chest X-rays. [PDF]
Br J Radioleuropepmc +1 more source
Liver fat volume fraction measurements based on multi-material decomposition algorithm in patients with nonalcoholic fatty liver disease: the influences of blood vessel, location, and iodine contrast. [PDF]
BMC Med ImagingZhu L +7 more
europepmc +1 more source
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Materialization and Decomposition of Dataspaces for Efficient Search
IEEE Transactions on Knowledge and Data Engineering, 2011Dataspaces consist of large-scale heterogeneous data. The query interface of accessing tuples should be provided as a fundamental facility by practical dataspace systems. Previously, an efficient index has been proposed for queries with keyword neighborhood over dataspaces. In this paper, we study the materialization and decomposition of dataspaces, in
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Decomposition and the Determination of Fluorine in Biological Materials
Nature, 1971THERE is considerable discrepancy in the published fluorine contents of some biological specimens1–6 which can be at least partially attributed to shortcomings in standard decomposition techniques. We submitted a series of organofluorine compounds both to conventional decomposition1–7 and to decomposition by pyrohydrolysis8,9; typical results are shown
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