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991.
Joanna Papierska Bartłomiej S. Witkowski Anastasiya Derkachova Krzysztof P. Korona Johannes Binder Krzysztof Gałkowski Łukasz Wachnicki Marek Godlewski Tomasz Dietl Jan Suffczyński 《Plasmonics (Norwell, Mass.)》2013,8(2):913-919
A simple fabrication method of silver (Ag) nanoislands on ZnO films is presented. Continuous wave and time-resolved photoluminescence and transmission are employed to investigate modifications of visible and UV emissions of ZnO brought about by coupling to localized surface plasmons residing on Ag nanoislands. The size of the nanoislands, determining their absorption and scattering efficiencies, is found to be an important factor governing plasmonic modification of optical response of ZnO films. The presence of the Ag nanoislands of appropriate dimensions causes a strong (threefold) increase in emission intensity and up to 1.5 times faster recombination. The experimental results are successfully described by model calculations within the Mie theory. 相似文献
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Partitioning the effects of isolation by distance,environment, and physical barriers on genomic divergence between parapatric threespine stickleback
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Marina Mikhaylova Julia Bär Bas van Bommel Philipp Schätzle PingAn YuanXiang Rajeev Raman Johannes Hradsky Anja Konietzny Egor Y. Loktionov Pasham Parameshwar Reddy Jeffrey Lopez-Rojas Christina Spilker Oliver Kobler Syed Ahsan Raza Oliver Stork Casper C. Hoogenraad Michael R. Kreutz 《Neuron》2018,97(5):1110-1125.e14
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Johannes Hachmann Mohammad Atif Faiz Afzal Mojtaba Haghighatlari Yudhajit Pal 《Molecular simulation》2018,44(11):921-929
AbstractThe use of modern data science has recently emerged as a promising new path to tackling the complex challenges involved in the creation of next-generation chemistry and materials. However, despite the appeal of this potentially transformative development, the chemistry community has yet to incorporate it as a central tool in every-day work. Our research program is designed to enable and advance this emerging research approach. It is centred around the creation of a software ecosystem that brings together physics-based modelling, high-throughput in silico screening and data analytics (i.e. the use of machine learning and informatics for the validation, mining and modelling of chemical data). This cyberinfrastructure is devised to offer a comprehensive set of data science techniques and tools as well as a general-purpose scope to make it as versatile and widely applicable as possible. It also emphasises user-friendliness to make it accessible to the community at large. It thus provides the means for the large-scale exploration of chemical space and for a better understanding of the hidden mechanisms that determine the properties of complex chemical systems. Such insights can dramatically accelerate, streamline and ultimately transform the way chemical research is conducted. Aside from serving as a production-level tool, our cyberinfrastructure is also designed to facilitate and assess methodological innovation. Both the software and method development work are driven by concrete molecular design problems, which also allow us to assess the efficacy of the overall cyberinfrastructure. 相似文献
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